Systems and methods are provided for selecting one or more models for predicting medical conditions. An exemplary method may include receiving data related to a patient and extracting metadata from the received data. The method may further include selecting the one or more models from a library of models based on the extracted metadata and applying the selected one or more models. The method also may include generating a notification when the application of the selected one or more model indicates an intervention is necessary.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method for selecting one or more models for predicting medical conditions, the method comprising: receiving, using a processor, data related to a patient; extracting metadata from the received data; selecting the one or more models from a library of models based on the extracted metadata; applying the selected one or models; and generating a notification when the application of the selected one or more model indicates an intervention is necessary. 2. The computer-implemented method of claim 1, wherein receiving data related to the patient further comprises receiving data related to the patient's blood glucose level. 3. The computer-implemented method of claim 2, wherein extracting metadata from the received data comprises extracting metadata indicating whether the patient's blood glucose level is continuous glucose monitor data or self-monitored blood glucose data. 4. The computer-implemented method of claim 3, wherein selecting the one or more models from a library of models based on the extracted metadata comprises selecting a first type of model when the extracted metadata indicates that the patient's blood glucose level is continuous glucose monitor data and selecting a second type of model when the extracted metadata indicates that the patient's blood glucose level is self-monitored blood glucose data. 5. The computer-implemented method of claim 4, wherein selecting the one or more models from a library of models based on the extracted metadata comprises selecting the second type of model when the extracted metadata indicates that the patient's blood glucose level is continuous glucose monitor data and self-monitored blood glucose data. 6. The computer-implemented method of claim 1, further comprising: transmitting the generated notification to one or more user devices. 7. The computer-implemented method of claim 6, wherein the generated notification contains one or more intervention options. 8. A system for selecting one or more models for predicting medical conditions, the system comprising: a memory having processor-readable instructions stored therein; and a processor configured to access the memory and execute the processor-readable instructions, which, when executed by the processor configures the processor to perform a method, the method comprising: receiving data related to a patient; extracting metadata from the received data; selecting the one or more models from a library of models based on the extracted metadata; applying the selected one or models; and generating a notification when the application of the selected one or more model indicates an intervention is necessary. 9. The system of claim 8, wherein receiving data related to the patient further comprises receiving data related to the patient's blood glucose level. 10. The system of claim 9, wherein extracting metadata from the received data comprises extracting metadata indicating whether the patient's blood glucose level is continuous glucose monitor data or self-monitored blood glucose data. 11. The system of claim 10, wherein selecting the one or more models from a library of models based on the extracted metadata comprises selecting a first type of model when the extracted metadata indicates that the patient's blood glucose level is continuous glucose monitor data and selecting a second type of model when the extracted metadata indicates that the patient's blood glucose level is self-monitored blood glucose data. 12. The system of claim 11, wherein selecting the one or more models from a library of models based on the extracted metadata comprises selecting the second type of model when the extracted metadata indicates that the patient's blood glucose level is continuous glucose monitor data and self-monitored blood glucose data. 13. The system of claim 8, wherein the method further comprises: transmitting the generated notification to one or more user devices. 14. The system of claim 13, wherein the generated notification contains one or more intervention options. 15. A non-transitory computer-readable medium storing instructions, the instructions, when executed by a computer system cause the computer system to perform a method, the method comprising: receiving data related to a patient; extracting metadata from the received data; selecting the one or more models from a library of models based on the extracted metadata; applying the selected one or models; and generating a notification when the application of the selected one or more model indicates an intervention is necessary. 16. The non-transitory computer-readable medium of claim 15, wherein receiving data related to the patient further comprises receiving data related to the patient's blood glucose level. 17. The non-transitory computer-readable medium of claim 16, wherein extracting metadata from the received data comprises extracting metadata indicating whether the patient's blood glucose level is continuous glucose monitor data or self-monitored blood glucose data. 18. The non-transitory computer-readable medium of claim 17, wherein selecting the one or more models from a library of models based on the extracted metadata comprises selecting a first type of model when the extracted metadata indicates that the patient's blood glucose level is continuous glucose monitor data and selecting a second type of model when the extracted metadata indicates that the patient's blood glucose level is self-monitored blood glucose data. 19. The non-transitory computer-readable medium of claim 18, wherein selecting the one or more models from a library of models based on the extracted metadata comprises selecting the second type of model when the extracted metadata indicates that the patient's blood glucose level is continuous glucose monitor data and self-monitored blood glucose data. 20. The non-transitory computer-readable medium of claim 15, wherein the method further comprises: