The complexity of mathematical models describing the cardiovascular system has grown in recent years to more accurately account for physiological dynamics . To aid in model validation and design , classical deterministic sensitivity analysis is performed on the cardiovascular model first presented by Olufsen , Tran , Ottesen , Ellwein , Lipsitz and Novak ( J Appl Physiol 99(4):1523–1537 , 2005 ) . SIR,-Dr John Kenny is optimistic about calcium channel blockers and encourages their use in the medical treatment of many cardiovascular disorders ( 26 October , p 1150 ) . However , in his review of unwanted effects he did not consider the association with surgery . In this work , we investigate how OHSNs can be made more inclusive for elderly people . Firstly , we describe “ My Health ” , an OHSN developed by our research group , tailored for patients with cardiovascular problems . We then assess how three well-known OHSNs address accessibility guidelines . Calcific aortic valve disease ( CAVD ) is a cardiovascular condition that causes the progressive narrowing of the aortic valve ( AV ) opening , due to the growth of bone-like deposits all over the aortic root ( AR ) . Transcatheter aortic valve replacement ( TAVR ) , a minimally invasive procedure , has recently become the only lifesaving solution for patients that can not tolerate the standard surgical valve replacement . PROBLEM Atrial Fibrillation ( AF ) is the most common sustained cardiac arrhythmia . It constitutes one of the leading cardiovascular health problems , affecting 33.5 million people of the world 's population . AF detection is commonly made by an Electrocardiogram ( EEG ) . Arterial blood pressure ( ABP ) is one of the most crucial cardiovascular indicators in clinical practice . Hilbert – Huang transform ( HHT ) has been performed on ABP signals and resulted in ABP variabil ... There is an urgent need for the development of reliable point-of-care devices capable of anticoagulant dose monitoring due to the increasing number of patients being treated with clotting control therapy . Millions of patients suffering from cardiovascular-related disorders rely on the anticoagulant therapy . One of the commonly administered drugs is warfarin . We are developing new experimental techniques ( in micro scale ) that can be used to understand the interaction of cells with the catheter material . These will help reduce the hospital costs incurred during longer stay of the patients admitted for cardiovascular related problems . Computer assisted systems help the doctor as a tool for prediction and analytic exploration of the heart disease . Advanced data mining algorithms and technique are used to discover the facts in the database and for medical research , especially in case of heart disease . This article has main purpose of understanding the datasets which are generally taken in medical field . The evaluation of cardiac functional parameters for heart disease diagnosis requires to have an accurate segmentation result . We propose a method to efficiently and reliably segment both the endocardial and the epicardial borders of the left ventricle . The key aspect of telemedicine is the use of electronic signals to transfer information from one destination to another . This project focus on telemedicine on the heart disease treatment . The aim of this thesis is to develop a system for monitoring abnormal and normal heart sounds . The dual problem gives a different view that is better and sometimes simpler than the original problem . This feature is used to detect Heart failure disease in ECG signals by comparing the outputs of SVM model and those of dual SVM model . Experiments show that the hybrid approach produces good results , is more efficient and increases accuracy of Heart failure disease detection with an acceptable accuracy of 94.97 % when compared with other algorithms to which the paper refers to . We present a new integrated , portable device to provide a convenient solution for remote monitoring heart rate at the fingertip and body temperature using Ethernet technology and widely spreading internet . Now a day , heart related disease is rising . Most of the times in these cases , patients may not realize their actual conditions and even it is a common fact that there are no doctors by their side , especially in rural areas , but now a day 's most of the diseases are curable if detected in time . The CNNE is applied to three benchmarked problems in NNs . They are cancer , diabetes and heart disease problems . The experimental results demonstrate the effectiveness of CNNE . Heart attack disease is major cause of death anywhere in world . Data mining play an important role in health care industry to enable health systems to properly use the data and analytics to identify impotence that improves care with reduce costs . Aeronautical systems have similar reliability and safety requirements , and while these systems may have historical information to access , commercial and military systems require longevity under a range of operational conditions and applied loads . Historically , the design of aerospace systems , particularly the selection of sensors , is based on the requirements for control and performance rather than on health assessment needs . Furthermore , the safety and reliability requirements are met through sensor suite augmentation in an ad hoc , heuristic manner , rather than any systematic approach . The medical examination seat based big data acquisition method comprises the steps : medical examination seats are used as examination data terminals , and the terminals upload respective examination data to a big data acquisition could-end server in real time . The problem that health examination data can not be timely acquired , summarized , mined and utilized is solved , total health examination data can be timely collected , accordingly a big data basis is provided for effective mining and utilization of the health examination data , the terminals for acquiring health examination data serves as the specific medical examination seats , the medical examination seats are distributed in hospitals , community outpatient service , health examination mechanisms , bodybuilding places , private places and the like and accordingly form a widely-distributed acquisition terminals , and the acquisition terminals upload the respective examination data to the big data acquisition server in real time . This paper discusses eServices using frontier applications , which targets medical domain applications using sensor network , along with New standardized health check system introduced to Japanese nations recently . We clarify the ubiquitous aspects of this application , and address challenges for ubiquitous innovation . From the establishment of medical center in our hospital , medical software from " Army No.1 " in medical software , to the outpatient doctor workstation , and then to the professional medical software application . Health examination information system based on the computer network , simplifies the medical business process , reduce labor intensity , improve work efficiency , reduces the cost , improves the medical quality and service quality . Under the condition that connection with a transmission control protocol ( TCP ) service of the rear-end server is not built , health examination on the rear-end server is achieved , the rear-end server is prevented from generating a plurality of chaining logs , and consumption of system resources is reduced . Meanwhile , the whole health examination process is achieved only on an inner nuclear layer , the TCP service of an upper layer is completely transparent , and original services are not influenced . Since such examinations should be conducted on a yearly basis , a fixed amount of income can be assumed . Family planning associations that are considering starting a health examination program should invest in the necessary facilities and equipment , recruit medical doctors and laboratory technicians , and form linkages with specialists , hospitals , universities , and other research institutions . It may take 3 - 5 years for a family planning association to accumulate the necessary technology and experience in this field and to acquire the confidence of the general public . The background of the research is that the chemical instrumentation course reviews all instrumentation used for health laboratory examinations in accordance with the demands of a health analyst 's competence . This material is basic knowledge , so students need to understand these three aspects , namely : the concept and function of chemical instrumentation , the basics of chemical instrumentation analysis , and the classification of chemical analysis . Missing information are the general issue in healthcare examination framework and very much controlled investigation . Missing information produces one-sided estimation and diminishes the factual capability of an investigation , which prompts invalid outcomes . There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare , economics and education . In particular , individual - level causal inference has important applications such as precision medicine . Afterwards they are combined into a single dataset by finding an appropriate transformation which is collisionfree with respect to the surrounding assembly and does not violate the defined position tolerances . The resulting volume dataset that represents all non-ideal parts can finally be visualized using techniques known from medical data analysis . The proposed method assists the product developer in tolerance synthesis by providing three-dimensional views of the impact of the defined tolerances , instead of presenting the output of statistic analysis . The objective of the Portal of Medical Data Models ( MDM , https://medical-data-models.org ) is to foster sharing and standardization . As of 2018 , MDM constitutes Europe ’s largest collection of medical data models ( n = 17697 ) . Key principles are transparency , semantic annotation and multi-linguality . The remote monitoring and emergency assistance electric healthcare chair for the old people comprises a chair body , a driving motor , a photovoltaic generator , a storage battery , an electric massager , a portable medical detection instrument , a first-aid packet , a remote video monitoring and emergency call system , a network terminal and the like . On the basis of retaining the healthcare function of traditional healthcare chairs , the remote monitoring and emergency assistance electric healthcare chair for the old people makes full use the latest scientific achievements and integrates the mature module technology of medical data collection , information microprocessing , remote interaction , intelligent control and the like . In a normal state , the remote monitoring and emergency assistance electric healthcare chair for the old people enables children and relatives to timely monitor the heath state of the old people , and when applied in emergencies , enables an old person in danger to achieve active self-saving and meanwhile to call for help from a 120 emergency center so as to convey location information , electronic medical record and disease indexes as well as to remotely transmit emergency information to the children and relatives , thereby buying time for first aid organization . The design of modern medical data information systems is driven by the need to collect and present data to authorized users . For collected medical data to be effective and improve patient treatment it must be transported from a device , aggregated , and analyzed to produce results that can be shared with care providers . This paper present a study of signal processing in Blind Source Separation ( BSS ) application for medical field , especially during medical data recording . There are two main techniques that will be investigated ; Natural Gradient Method ( NGM ) and Self-Organized Neural Network ( SONN ) . Medical image data is formed by pixels that correspond to a part of a physical object and produced by imaging modalities . discovery of medical image data methods is a challenge in the sense of getting their insight value , analyzing and diagnosing of a specific disease . Image classification plays an important role in computer-aided-diagnosis of diseases and is a big challenge on image analysis tasks . Abstract This article reports a medical data base system which can replace the sorting cards . The system is written in ANS-MUMPS . The present invention provides a medical data providing system and method thereof of the patient ID ( identification ) data and non-ID data separated so that only the patient 's medical data . The system includes an ID information storage unit , the non-ID information storage unit , the medical care code generating unit , a care database and medical care code list database . This Paper is concerned with the ideas behind design , implementation , testing and application of a novel swarm based intelligent system for Medical Data Set analysis . The unique contribution of this paper is in the implementation of a hybrid intelligent system Data Mining technique such as Bacteria Foraging Optimization Algorithm ( BFOA ) for solving novel practical problems , the detailed description of this technique , and the illustrations of several applications solved by this novel technique . For a detailed review of the methods proposed to address this task , we refer the reader to the recent work of Makropoulos et al . While fully - automatic , learning - based medical image segmentation methods have improved substantially over the last years , the performances in many applications are still insufficient for practical use , more so when the amount of training data is very limited , as is typically the case in medical applications . For instance , manual annotations of brain MRI ( i.e. , assigning a label to each voxel ) is a highly complex and time - consuming process , which requires extensive expertise . This is particularly the case of infant brain MRIs . Therefore , both active and semi / weakly supervised learning frameworks are currently attracting substantial interest in medical image analysis . For instance , in the recent study in , Yang et al . proposed an active learning framework , and showed its potential in the context of segmenting glands in histology images and lymph nodes in ultrasound . There indeed exist efforts to assess pain from the observational or behavioral effect caused by pain such as physiological data . © Medasense has developed medical devices for objective pain monitoring . Their basic premise is that pain may cause vital signs such as blood pressure , pulse rate , respiration rate , SpO2 from EMG , ECG or EEG , alone or in combination to change and often to increase . In addition , for both stages of annotation and for the detailed subspan annotation in Stage 2 , we hired three medical professionals via Upwork , an online platform for hiring skilled freelancers . After reviewing several dozen suggested profiles , we selected three workers that had the following characteristics : Advanced medical training ( the majority of hired workers were Medical Doctors , the one exception being a fourth - year medical student ) ; Strong technical reading and writing skills ; And an interest in medical research . In addition to providing high - quality annotations , individuals hired via Upwork also provided feedback regarding the instructions to help make the task as clear as possible for the AMT workers . ’s output , a method that has also been shown promising for processing 2D natural images ( ) . The design of the proposed system is well suited for processing medical volumes thanks to its generic 3D nature . The capabilities of DeepMedic and the employed CRF for capturing 3D patterns exceed those of 2D networks and locally connected random fields , models that have been commonly used in previous work . The digitally recorded signals can be easily sent by email or SMS to a doctor for his comments and medical advice . Hence , this proposed device is expected to help in easy medical check-up of the persons residing in the remote areas and villages . Since the device is compact and can be used for recording signals for longer periods , it may also be used for long-term investigation of the patients . Lifestyle-related diseases are responsible for 60 % of deaths in Japan . In order to screen persons at potentially high risk for these diseases , medical checkups for metabolic syndrome are used throughout Japan . Prediction and prevention of lifestyle-related diseases would yield a direct reduction in medical costs . This research was conducted at Health Unit of PT Kereta Api Operation Area 4 Semarang . Problems to be investigated is how the process of medical check up service or what are the obstacles experienced during the process of medical check up service at PT Kereta Api Indonesia Daop 4 Semarang . In this study , the authors examine the process of medical check up service PT Kereta Api Indonesia Daop 4 Semarang . The Rational Unified Process ( RUP ) method is an iterative and incremental software development method that focuses on architecture . The RUP method will be used in the development of a medical check-up information system on a Citra medical center because this method is proactively able to resolve the project risks associated with the client 's evolving requirements requiring careful change request management . Less time is required for integration as the process of integration goes on throughout the software development life cycle and the development time required is less due to using of components over and over . Holography was used as a new method for medical checking . The experimental results with eyeballs as the object photographed , the optical path and the recording media were analyzed in emphasis . The linear passive joint dynamics : stiffness , viscosity and friction , is then estimated with least squares method . Acquisition of movements both designed for estimation or from medical diagnosis check-up , are achieved with motion capture studio only ( no pain , no distress on subject ) . Experimental results for three valid subject are given Abstract In this review , we present a framework that will enable us to obtain increased accuracy of computer diagnosis in medical patient checkups . To some extent , a new proposition for medical data analysis has been built based on medical data preprocessing . And this can be implemented by AT commands of GSM unit which is in future scope because of extra circuitry . Also , there can be feedback facility from doctors in this overall unit which helps in premedical check-up at home . Image and video SR are long - standing challenges of signal processing . SR aims at recovering a HR image or video from its LR version , and finds direct applications ranging from medical imaging to satellite imaging , as well as facilitating tasks such as face recognition . The reconstruction of HR data from a LR input is however a highly ill - posed problem that requires additional constraints to be solved . Traditional memory networks involve diffused and non-linear operations where influence of past events on outputs are not readily quantifiable . We posit that this lack of interpretability makes such networks not applicable for EHR analysis . While networks with explicit memory have been proposed recently , the discontinuities imposed by the discrete operations make such networks harder to train and require more supervision . Any registered software applications can access data exchange services conveniently . In this paper , the suitable EHR data model for healthcare in Thailand , the framework architecture , and the data exchange mechanism are described in details . The practicality of the framework is also verified by the local healthcare experts . Dealing with Informative Missing Values in EHR Data Analysis . Missing values pose a significant challenge in data analytic , especially in clinical studies , data is typically missing-not-at-random ( MNAR ) . EHR should be considered as one of the most complex data objects in the information processing industry . Accordingly , taking into consideration its complexity , heterogeneity , fast growth , and size , the analysis of EHR data increasingly needs big data tools . Such tools should be able to analyze datasets characterized by the so-called 4Vs ( volume , velocity , variety , and veracity ) . The mean total score of the usability measure was 36.7 when the participants used the NLP-NLP protocol compared with 30.3 when they used the Standard-Standard protocol . Conclusions In this study , the feasibility of an approach to EHR data capture involving the application of NLP to transcribed dictation was demonstrated . This novel dictation-based approach has the potential to reduce the time required for documentation and improve usability while maintaining documentation quality . This approach uses special secured views . For the compatibility with data-driven EHR systems , the protocol is proposed together with a high-level middleware architecture . The suggested solution is discussed based on system requirements and specification to demonstrate its advantages . The second component of EHR systems is the electronic data warehouse , or “ back-end , ” where the data are stored in a relational database . EHR data elements can be of many types , which can be categorized as structured , unstructured free-text , and imaging data . The Sunrise Clinical Manager ( SCM ) EHR is one example of an inpatient EHR system , which covers the city of Calgary ( Alberta , Canada ) . In this paper , we consider the applicable provisions of the EU Data Protection Directive , and outline a general approach to patient data handling for research , which we believe to be compatible with relevant legal and ethical requirements . We then illustrate and apply this by reference to a specific EU FP7 project , involving EHR data processing to select patients for clinical pharmaceutical trials . After introducing the project ( PONTE ) , we explain the ‘ devolved ’ data protection architecture it employs and provide a legal evaluation . Studies of EHR , unlike other types of administrative data , have provided guidance to evaluate the utility of big data for population health research . Case Description : Here , an established EHR data quality framework was applied to identify and describe the potential shortcomings of administrative juvenile justice system data collected by one of four case management systems ( CMSs ) across 12 counties in a Midwest state . The CMS data were reviewed for logical inconsistencies and compared along the data quality dimensions of plausibility and completeness . We propose a high-throughput similarity-based cohort identification algorithm by applying numerical abstractions on electronic health records ( EHR ) data . We implement this algorithm using the Observational Medical Outcomes Partnership ( OMOP ) Common Data Model ( CDM ) , which enables sites using this standardized EHR data representation to avail this algorithm with minimum effort for local implementation . We validate its performance for a retrospective cohort identification task on six clinical trials conducted at the Columbia University Medical Center . The data collected have then been analysed by resorting to statistical techniques . The study shows that despite many personalized medicines have been discovered for use , it is difficult to adopt the personalized medicare system due to lack of adequate infrastructures , healthcare record system , communication among the medical doctors and genomic researchers , awareness and encouragement of common people , proper training of medical doctors , and confidentiality of the patients . None of the articles provided level 1 evidence , and only one study was considered high quality following quality assessment . Twenty-six different OSS programs were described in the included studies of which ten were used for image visualization , five were used for healthcare records management , four were used for educations processes , one was used for remote consultation and simulation , and six were used for general purposes . CONCLUSIONS Our analysis revealed that the dental literature on OSS consists of scarce , incomplete , and methodologically low quality information . The paper points out the problems existed in current community health service informatization , elaborates the development status of community health service information system , proposes to construct a community health service information system based on mobile network . It discusses the system design status from the aspects of system architecture and support system , elabrates the system environment and realization taking health records management and health information service as examples . METHODS This was an observational study with a descriptive and exploratory approach , using action research associated with the Delphi method . A group of 13 health professionals made up a panel of experts that , through individual and group meetings , drew up a preliminary health information records model . The questionnaire used to validate this model included four questions based on a Likert scale . BACKGROUND Internet-based health-record management requires not only the provision of strong data protection to prevent privacy intrusion and unauthorized access , but also the introduction of a common healthcare-record format to allow cooperation using heterogeneous repositories held at various hospitals . METHODS A secure multi-agent architecture is proposed for accessing healthcare information through the Internet from multiple heterogeneous repositories .
The complexity of mathematical models describing the cardiovascular system has grown in recent years to more accurately account for physiological dynamics . To aid in model validation and design , classical deterministic sensitivity analysis is performed on the cardiovascular model first presented by Olufsen , Tran , Ottesen , Ellwein , Lipsitz and Novak ( J Appl Physiol 99(4):1523–1537 , 2005 ) .
SIR,-Dr John Kenny is optimistic about calcium channel blockers and encourages their use in the medical treatment of many cardiovascular disorders ( 26 October , p 1150 ) . However , in his review of unwanted effects he did not consider the association with surgery .
In this work , we investigate how OHSNs can be made more inclusive for elderly people . Firstly , we describe “ My Health ” , an OHSN developed by our research group , tailored for patients with cardiovascular problems . We then assess how three well-known OHSNs address accessibility guidelines .
Calcific aortic valve disease ( CAVD ) is a cardiovascular condition that causes the progressive narrowing of the aortic valve ( AV ) opening , due to the growth of bone-like deposits all over the aortic root ( AR ) . Transcatheter aortic valve replacement ( TAVR ) , a minimally invasive procedure , has recently become the only lifesaving solution for patients that can not tolerate the standard surgical valve replacement .
PROBLEM Atrial Fibrillation ( AF ) is the most common sustained cardiac arrhythmia . It constitutes one of the leading cardiovascular health problems , affecting 33.5 million people of the world 's population . AF detection is commonly made by an Electrocardiogram ( EEG ) .
Arterial blood pressure ( ABP ) is one of the most crucial cardiovascular indicators in clinical practice . Hilbert – Huang transform ( HHT ) has been performed on ABP signals and resulted in ABP variabil ...
There is an urgent need for the development of reliable point-of-care devices capable of anticoagulant dose monitoring due to the increasing number of patients being treated with clotting control therapy . Millions of patients suffering from cardiovascular-related disorders rely on the anticoagulant therapy . One of the commonly administered drugs is warfarin .
We are developing new experimental techniques ( in micro scale ) that can be used to understand the interaction of cells with the catheter material . These will help reduce the hospital costs incurred during longer stay of the patients admitted for cardiovascular related problems .
Computer assisted systems help the doctor as a tool for prediction and analytic exploration of the heart disease . Advanced data mining algorithms and technique are used to discover the facts in the database and for medical research , especially in case of heart disease . This article has main purpose of understanding the datasets which are generally taken in medical field .
The evaluation of cardiac functional parameters for heart disease diagnosis requires to have an accurate segmentation result . We propose a method to efficiently and reliably segment both the endocardial and the epicardial borders of the left ventricle .
The key aspect of telemedicine is the use of electronic signals to transfer information from one destination to another . This project focus on telemedicine on the heart disease treatment . The aim of this thesis is to develop a system for monitoring abnormal and normal heart sounds .
The dual problem gives a different view that is better and sometimes simpler than the original problem . This feature is used to detect Heart failure disease in ECG signals by comparing the outputs of SVM model and those of dual SVM model . Experiments show that the hybrid approach produces good results , is more efficient and increases accuracy of Heart failure disease detection with an acceptable accuracy of 94.97 % when compared with other algorithms to which the paper refers to .
We present a new integrated , portable device to provide a convenient solution for remote monitoring heart rate at the fingertip and body temperature using Ethernet technology and widely spreading internet . Now a day , heart related disease is rising . Most of the times in these cases , patients may not realize their actual conditions and even it is a common fact that there are no doctors by their side , especially in rural areas , but now a day 's most of the diseases are curable if detected in time .
The CNNE is applied to three benchmarked problems in NNs . They are cancer , diabetes and heart disease problems . The experimental results demonstrate the effectiveness of CNNE .
Heart attack disease is major cause of death anywhere in world . Data mining play an important role in health care industry to enable health systems to properly use the data and analytics to identify impotence that improves care with reduce costs .
Aeronautical systems have similar reliability and safety requirements , and while these systems may have historical information to access , commercial and military systems require longevity under a range of operational conditions and applied loads . Historically , the design of aerospace systems , particularly the selection of sensors , is based on the requirements for control and performance rather than on health assessment needs . Furthermore , the safety and reliability requirements are met through sensor suite augmentation in an ad hoc , heuristic manner , rather than any systematic approach .
The medical examination seat based big data acquisition method comprises the steps : medical examination seats are used as examination data terminals , and the terminals upload respective examination data to a big data acquisition could-end server in real time . The problem that health examination data can not be timely acquired , summarized , mined and utilized is solved , total health examination data can be timely collected , accordingly a big data basis is provided for effective mining and utilization of the health examination data , the terminals for acquiring health examination data serves as the specific medical examination seats , the medical examination seats are distributed in hospitals , community outpatient service , health examination mechanisms , bodybuilding places , private places and the like and accordingly form a widely-distributed acquisition terminals , and the acquisition terminals upload the respective examination data to the big data acquisition server in real time .
This paper discusses eServices using frontier applications , which targets medical domain applications using sensor network , along with New standardized health check system introduced to Japanese nations recently . We clarify the ubiquitous aspects of this application , and address challenges for ubiquitous innovation .
From the establishment of medical center in our hospital , medical software from " Army No.1 " in medical software , to the outpatient doctor workstation , and then to the professional medical software application . Health examination information system based on the computer network , simplifies the medical business process , reduce labor intensity , improve work efficiency , reduces the cost , improves the medical quality and service quality .
Under the condition that connection with a transmission control protocol ( TCP ) service of the rear-end server is not built , health examination on the rear-end server is achieved , the rear-end server is prevented from generating a plurality of chaining logs , and consumption of system resources is reduced . Meanwhile , the whole health examination process is achieved only on an inner nuclear layer , the TCP service of an upper layer is completely transparent , and original services are not influenced .
Since such examinations should be conducted on a yearly basis , a fixed amount of income can be assumed . Family planning associations that are considering starting a health examination program should invest in the necessary facilities and equipment , recruit medical doctors and laboratory technicians , and form linkages with specialists , hospitals , universities , and other research institutions . It may take 3 - 5 years for a family planning association to accumulate the necessary technology and experience in this field and to acquire the confidence of the general public .
The background of the research is that the chemical instrumentation course reviews all instrumentation used for health laboratory examinations in accordance with the demands of a health analyst 's competence . This material is basic knowledge , so students need to understand these three aspects , namely : the concept and function of chemical instrumentation , the basics of chemical instrumentation analysis , and the classification of chemical analysis .
Missing information are the general issue in healthcare examination framework and very much controlled investigation . Missing information produces one-sided estimation and diminishes the factual capability of an investigation , which prompts invalid outcomes .
There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare , economics and education . In particular , individual - level causal inference has important applications such as precision medicine .
Afterwards they are combined into a single dataset by finding an appropriate transformation which is collisionfree with respect to the surrounding assembly and does not violate the defined position tolerances . The resulting volume dataset that represents all non-ideal parts can finally be visualized using techniques known from medical data analysis . The proposed method assists the product developer in tolerance synthesis by providing three-dimensional views of the impact of the defined tolerances , instead of presenting the output of statistic analysis .
The objective of the Portal of Medical Data Models ( MDM , https://medical-data-models.org ) is to foster sharing and standardization . As of 2018 , MDM constitutes Europe ’s largest collection of medical data models ( n = 17697 ) . Key principles are transparency , semantic annotation and multi-linguality .
The remote monitoring and emergency assistance electric healthcare chair for the old people comprises a chair body , a driving motor , a photovoltaic generator , a storage battery , an electric massager , a portable medical detection instrument , a first-aid packet , a remote video monitoring and emergency call system , a network terminal and the like . On the basis of retaining the healthcare function of traditional healthcare chairs , the remote monitoring and emergency assistance electric healthcare chair for the old people makes full use the latest scientific achievements and integrates the mature module technology of medical data collection , information microprocessing , remote interaction , intelligent control and the like . In a normal state , the remote monitoring and emergency assistance electric healthcare chair for the old people enables children and relatives to timely monitor the heath state of the old people , and when applied in emergencies , enables an old person in danger to achieve active self-saving and meanwhile to call for help from a 120 emergency center so as to convey location information , electronic medical record and disease indexes as well as to remotely transmit emergency information to the children and relatives , thereby buying time for first aid organization .
The design of modern medical data information systems is driven by the need to collect and present data to authorized users . For collected medical data to be effective and improve patient treatment it must be transported from a device , aggregated , and analyzed to produce results that can be shared with care providers .
This paper present a study of signal processing in Blind Source Separation ( BSS ) application for medical field , especially during medical data recording . There are two main techniques that will be investigated ; Natural Gradient Method ( NGM ) and Self-Organized Neural Network ( SONN ) .
Medical image data is formed by pixels that correspond to a part of a physical object and produced by imaging modalities . discovery of medical image data methods is a challenge in the sense of getting their insight value , analyzing and diagnosing of a specific disease . Image classification plays an important role in computer-aided-diagnosis of diseases and is a big challenge on image analysis tasks .
Abstract This article reports a medical data base system which can replace the sorting cards . The system is written in ANS-MUMPS .
The present invention provides a medical data providing system and method thereof of the patient ID ( identification ) data and non-ID data separated so that only the patient 's medical data . The system includes an ID information storage unit , the non-ID information storage unit , the medical care code generating unit , a care database and medical care code list database .
This Paper is concerned with the ideas behind design , implementation , testing and application of a novel swarm based intelligent system for Medical Data Set analysis . The unique contribution of this paper is in the implementation of a hybrid intelligent system Data Mining technique such as Bacteria Foraging Optimization Algorithm ( BFOA ) for solving novel practical problems , the detailed description of this technique , and the illustrations of several applications solved by this novel technique .
For a detailed review of the methods proposed to address this task , we refer the reader to the recent work of Makropoulos et al . While fully - automatic , learning - based medical image segmentation methods have improved substantially over the last years , the performances in many applications are still insufficient for practical use , more so when the amount of training data is very limited , as is typically the case in medical applications . For instance , manual annotations of brain MRI ( i.e. , assigning a label to each voxel ) is a highly complex and time - consuming process , which requires extensive expertise . This is particularly the case of infant brain MRIs . Therefore , both active and semi / weakly supervised learning frameworks are currently attracting substantial interest in medical image analysis . For instance , in the recent study in , Yang et al . proposed an active learning framework , and showed its potential in the context of segmenting glands in histology images and lymph nodes in ultrasound .
There indeed exist efforts to assess pain from the observational or behavioral effect caused by pain such as physiological data . © Medasense has developed medical devices for objective pain monitoring . Their basic premise is that pain may cause vital signs such as blood pressure , pulse rate , respiration rate , SpO2 from EMG , ECG or EEG , alone or in combination to change and often to increase .
In addition , for both stages of annotation and for the detailed subspan annotation in Stage 2 , we hired three medical professionals via Upwork , an online platform for hiring skilled freelancers . After reviewing several dozen suggested profiles , we selected three workers that had the following characteristics : Advanced medical training ( the majority of hired workers were Medical Doctors , the one exception being a fourth - year medical student ) ; Strong technical reading and writing skills ; And an interest in medical research . In addition to providing high - quality annotations , individuals hired via Upwork also provided feedback regarding the instructions to help make the task as clear as possible for the AMT workers .
’s output , a method that has also been shown promising for processing 2D natural images ( ) . The design of the proposed system is well suited for processing medical volumes thanks to its generic 3D nature . The capabilities of DeepMedic and the employed CRF for capturing 3D patterns exceed those of 2D networks and locally connected random fields , models that have been commonly used in previous work .
The digitally recorded signals can be easily sent by email or SMS to a doctor for his comments and medical advice . Hence , this proposed device is expected to help in easy medical check-up of the persons residing in the remote areas and villages . Since the device is compact and can be used for recording signals for longer periods , it may also be used for long-term investigation of the patients .
Lifestyle-related diseases are responsible for 60 % of deaths in Japan . In order to screen persons at potentially high risk for these diseases , medical checkups for metabolic syndrome are used throughout Japan . Prediction and prevention of lifestyle-related diseases would yield a direct reduction in medical costs .
This research was conducted at Health Unit of PT Kereta Api Operation Area 4 Semarang . Problems to be investigated is how the process of medical check up service or what are the obstacles experienced during the process of medical check up service at PT Kereta Api Indonesia Daop 4 Semarang . In this study , the authors examine the process of medical check up service PT Kereta Api Indonesia Daop 4 Semarang .
The Rational Unified Process ( RUP ) method is an iterative and incremental software development method that focuses on architecture . The RUP method will be used in the development of a medical check-up information system on a Citra medical center because this method is proactively able to resolve the project risks associated with the client 's evolving requirements requiring careful change request management . Less time is required for integration as the process of integration goes on throughout the software development life cycle and the development time required is less due to using of components over and over .
Holography was used as a new method for medical checking . The experimental results with eyeballs as the object photographed , the optical path and the recording media were analyzed in emphasis .
The linear passive joint dynamics : stiffness , viscosity and friction , is then estimated with least squares method . Acquisition of movements both designed for estimation or from medical diagnosis check-up , are achieved with motion capture studio only ( no pain , no distress on subject ) . Experimental results for three valid subject are given
Abstract In this review , we present a framework that will enable us to obtain increased accuracy of computer diagnosis in medical patient checkups . To some extent , a new proposition for medical data analysis has been built based on medical data preprocessing .
And this can be implemented by AT commands of GSM unit which is in future scope because of extra circuitry . Also , there can be feedback facility from doctors in this overall unit which helps in premedical check-up at home .
Image and video SR are long - standing challenges of signal processing . SR aims at recovering a HR image or video from its LR version , and finds direct applications ranging from medical imaging to satellite imaging , as well as facilitating tasks such as face recognition . The reconstruction of HR data from a LR input is however a highly ill - posed problem that requires additional constraints to be solved .
Traditional memory networks involve diffused and non-linear operations where influence of past events on outputs are not readily quantifiable . We posit that this lack of interpretability makes such networks not applicable for EHR analysis . While networks with explicit memory have been proposed recently , the discontinuities imposed by the discrete operations make such networks harder to train and require more supervision .
Any registered software applications can access data exchange services conveniently . In this paper , the suitable EHR data model for healthcare in Thailand , the framework architecture , and the data exchange mechanism are described in details . The practicality of the framework is also verified by the local healthcare experts .
Dealing with Informative Missing Values in EHR Data Analysis . Missing values pose a significant challenge in data analytic , especially in clinical studies , data is typically missing-not-at-random ( MNAR ) .
EHR should be considered as one of the most complex data objects in the information processing industry . Accordingly , taking into consideration its complexity , heterogeneity , fast growth , and size , the analysis of EHR data increasingly needs big data tools . Such tools should be able to analyze datasets characterized by the so-called 4Vs ( volume , velocity , variety , and veracity ) .
The mean total score of the usability measure was 36.7 when the participants used the NLP-NLP protocol compared with 30.3 when they used the Standard-Standard protocol . Conclusions In this study , the feasibility of an approach to EHR data capture involving the application of NLP to transcribed dictation was demonstrated . This novel dictation-based approach has the potential to reduce the time required for documentation and improve usability while maintaining documentation quality .
This approach uses special secured views . For the compatibility with data-driven EHR systems , the protocol is proposed together with a high-level middleware architecture . The suggested solution is discussed based on system requirements and specification to demonstrate its advantages .
The second component of EHR systems is the electronic data warehouse , or “ back-end , ” where the data are stored in a relational database . EHR data elements can be of many types , which can be categorized as structured , unstructured free-text , and imaging data . The Sunrise Clinical Manager ( SCM ) EHR is one example of an inpatient EHR system , which covers the city of Calgary ( Alberta , Canada ) .
In this paper , we consider the applicable provisions of the EU Data Protection Directive , and outline a general approach to patient data handling for research , which we believe to be compatible with relevant legal and ethical requirements . We then illustrate and apply this by reference to a specific EU FP7 project , involving EHR data processing to select patients for clinical pharmaceutical trials . After introducing the project ( PONTE ) , we explain the ‘ devolved ’ data protection architecture it employs and provide a legal evaluation .
Studies of EHR , unlike other types of administrative data , have provided guidance to evaluate the utility of big data for population health research . Case Description : Here , an established EHR data quality framework was applied to identify and describe the potential shortcomings of administrative juvenile justice system data collected by one of four case management systems ( CMSs ) across 12 counties in a Midwest state . The CMS data were reviewed for logical inconsistencies and compared along the data quality dimensions of plausibility and completeness .
We propose a high-throughput similarity-based cohort identification algorithm by applying numerical abstractions on electronic health records ( EHR ) data . We implement this algorithm using the Observational Medical Outcomes Partnership ( OMOP ) Common Data Model ( CDM ) , which enables sites using this standardized EHR data representation to avail this algorithm with minimum effort for local implementation . We validate its performance for a retrospective cohort identification task on six clinical trials conducted at the Columbia University Medical Center .
The data collected have then been analysed by resorting to statistical techniques . The study shows that despite many personalized medicines have been discovered for use , it is difficult to adopt the personalized medicare system due to lack of adequate infrastructures , healthcare record system , communication among the medical doctors and genomic researchers , awareness and encouragement of common people , proper training of medical doctors , and confidentiality of the patients .
None of the articles provided level 1 evidence , and only one study was considered high quality following quality assessment . Twenty-six different OSS programs were described in the included studies of which ten were used for image visualization , five were used for healthcare records management , four were used for educations processes , one was used for remote consultation and simulation , and six were used for general purposes . CONCLUSIONS Our analysis revealed that the dental literature on OSS consists of scarce , incomplete , and methodologically low quality information .
The paper points out the problems existed in current community health service informatization , elaborates the development status of community health service information system , proposes to construct a community health service information system based on mobile network . It discusses the system design status from the aspects of system architecture and support system , elabrates the system environment and realization taking health records management and health information service as examples .
METHODS This was an observational study with a descriptive and exploratory approach , using action research associated with the Delphi method . A group of 13 health professionals made up a panel of experts that , through individual and group meetings , drew up a preliminary health information records model . The questionnaire used to validate this model included four questions based on a Likert scale .
BACKGROUND Internet-based health-record management requires not only the provision of strong data protection to prevent privacy intrusion and unauthorized access , but also the introduction of a common healthcare-record format to allow cooperation using heterogeneous repositories held at various hospitals . METHODS A secure multi-agent architecture is proposed for accessing healthcare information through the Internet from multiple heterogeneous repositories .
Sensitivity Analysis and Model Assessment: Mathematical Models for Arterial Blood Flow and Blood Pressure Diagnosis of ventricular tachycardia My Health: An Online Healthcare Social Network Inclusive for Elderly People Simulation of Transcatheter Aortic Valve Replacement in patient-specific aortic roots: Effect of crimping and positioning on device performance Systematic Review on Features Extracted from PPG Signals for the Detection of Atrial Fibrillation Magnitude Variation of Arterial Blood Pressure Measured Using Holo-Hilbert Spectral Analysis Development of a Biodiagnostic Device Assay for Coagulation Monitoring From Macroscopic to Microscopic: Experimental and Computational Methods to Investigate Bio-tribology Modeling of Heart Data using PSO and A-Priori Algorithm for Disease Prediction Segmentation of the LV Wall with Trabeculations Project Proposal Report Bachelor Of Science (Computer Science) A New Automatic Identification Method of Heart Failure Using Improved Support Vector Machine Based on Duality Optimization Technique Development of a device for remote monitoring of heart rate and body temperature Exploring constructive algorithms with stopping criteria to produce accurate and diverse individual neural networks in an ensemble Prediction system for heart disease using Naive Bayes and particle swarm optimization Sensor Selection and Optimization for Health Assessment of Aerospace Systems Medical examination seat based big data acquisition method eService Innovation and Sensor Based Healthcare Discussion on Medical Software Application in our Hospital Keep-alive method, system and device for rear-end server in load balancing system Family planning associations support themselves. Urgency of Chemistry Instrumentation for Students of Medical Laboratory Technology A Survey on Missing Information Strategies and Imputation Methods in Healthcare Estimating individual treatment effect: generalization bounds and algorithms Volume Visualization of Geometric Deviations Data Structures in Medicine - On the Road to Data Standards Remote monitoring and emergency assistance electric healthcare chair for old people Secure access delegation of encrypted medical information Blind Signal Separation for Medical Data Recording Using Self-Organizing Neural Network Implementation of Image Processing Technique for Diagnosis of Diseases From Sorting Card to Automated Medical Data System. Medical data providing system and medical data providing method Medical data set analysis - a enchanced clustering approach Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation Transferring Face Verification Nets To Pain and Expression Regression A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation Development of an ambulatory universal bio potential recording device Method of Screening the Health of Persons with High Risk for Potential Lifestyle-related Diseases using LDA - Toward a Better Screening Method for Persons with High Health Risks PROSES PELAYANAN MEDICAL CHECK UP (MCU) TAHUN 2017 DI UNIT KESEHATAN PT KERETA API INDONESIA (PERSERO) DAERAH OPERASI 4 SEMARANG Penerapan Metode Rational Unified Process (RUP) Dalam Pengembangan Sistem Informasi Medical Check Up Pada Citra Medical Centre Holographic Study of Eyeballs MA Li-na In-vivo estimation of the human elbow joint dynamics during passive movements based on the musculo-skeletal kinematics computation Medical data preprocessing for increased selectivity of diagnosis Implementation Of ARM7 Based Handheld ECG Unit Prototype For Remote Areas As Premedical Checkup At Home Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records Cloud-based data exchange framework for healthcare services Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis A Survey of Big Data Issues in Electronic Health Record Analysis Natural Language Processing–Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study Privacy-Aware Data Analysis Middleware for Data-Driven EHR Systems Unlocking the Potential of Electronic Health Records for Health Research Using EHRs to design drug repositioning trials: A devolved approach to data protection Applying an Electronic Health Records Data Quality Framework Across Service Sectors: A Case Study of Juvenile Justice System Data An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model Version 5.0 Feasibility of Large Scale Implementation of Personalized Medicine in the Current Scenario OPEN-SOURCE SOFTWARE IN DENTISTRY: A SYSTEMATIC REVIEW. Design and Implementation of Community Health Service Information System under Mobile Network Environment A multiprofessional information model for Brazilian primary care: Defining a consensus model towards an interoperable electronic health record Web-based secure access from multiple patient repositories
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AMCIS EMBC pHealth BIODEVICES VISIGRAPP (4: VISAPP) SMC II3E ICML The Art of Structuring ISMICT Comput. Medical Imaging Graph. ArXiv ACL Medical Image Anal. HEALTHINF ICRA 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ICBK FDSE
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