<prompt> Hlalosa sebopeho sa data se ka sebelisoang ho boloka lintlha ka boemo ba bongaka ba mosebelisi.nan  <response>: Instruction in English: Describe a data structure that can be used to store information about a users medical condition. . Response in English: One data structure that can be used to store information about a users medical condition is an object or dictionary in the form of a patient health record. This can contain key-value pairs that hold information about the user, including their name, age, gender, and medical conditions. One of the keys could be medical_conditions, the value of which is a list or array of the users medical conditions. Each element in the list could be another object or dictionary, which contains information about the specific medical condition such as the diagnosis date, symptoms, treatment plans, medications, and notes from the physician. An example of such a data structure would be: name: Jane Doe, age: 45, gender: Female, medical_conditions: condition: Diabetes, diagnosis_date: 05032015, symptoms: frequent urination, increased thirst, fatigue, treatment: medication: metformin, insulin: true, diet: low-carb diet, exercise: regular exercise , physician_notes: Patient has well-managed diabetes with regular checkups and medication. , condition: Hypertension, diagnosis_date: 01152018, symptoms: high blood pressure, headaches, dizziness, treatment: medication:lisinopril, lifestyle_changes:low-sodium diet, regular exercise, , physician_notes: Patient needs to monitor blood pressure regularly and continue with medication and lifestyle changes. This type of data structure allows for easy addition, deletion, and updating of the users medical conditions and provides a comprehensive view of their health history. . Response in Sesotho: Mokhoa o mong oa data o ka sebelisoang ho boloka tlhahisoleseling mabapi le boemo ba bongaka ba mosebelisi ke ntho kapa buka e hlalosang mantsoe ka mokhoa oa rekoto ea bophelo ba mokuli. Sena se ka ba le lipara tsa bohlokoahali tse bolokang lintlha ka mosebelisi, ho kenyeletsoa mabitso a bona, lilemo, bong, le maemo a bongaka. E ngoe ea linotlolo e ka ba medical_conditions, eo boleng ba eona e leng lethathamo kapa maemo a bophelo a mosebedisi. Ntho e ngoe le e ngoe e lethathamong e ka ba ntho e ngoe kapa buka e hlalosang mantsoe, e nang le boitsebiso bo mabapi le boemo bo itseng ba bongaka bo kang letsatsi la ho hlahlojoa, matšoao, merero ea phekolo, meriana le lintlha tse tsoang ho ngaka. Mohlala oa sebopeho se joalo sa data e ka ba: name: Jane Doe, age: 45, gender: Female, medical_conditions: condition: Diabetes, diagnosis_date : 05032015, matšoao: ho ntša metsi khafetsa, lenyora le eketsehileng, mokhathala, phekolo: meriana: metformin, insulin: nete , diet: low-carb diet, exercise: ikwetliso ya ka mehla , physician_notes: Mokuli o na le lefu la tsoekere le laolehileng hantle ka tlhahlobo ea kamehla le meriana. , condition: Hypertension, diagnosis_date: 01152018, symptoms: high blood pressure, hlooho e opang, ho tsekela, phekolo: meriana :lisinopril, lifestyle_changes:low-sodium diet, itregular exercise, , Physician_notes: Mokuli o lokela ho beha leihlo kgatello ya madi kamehla le ho tswela pele ka meriana le ho fetola mokgwa wa bophelo. Mofuta ona oa sebopeho sa data o lumella ho kenyelletsoa ha bonolo, ho hlakolwa, le ho ntjhafatsa maemo a tsa bongaka a mosebedisi mme e fana ka pono e batsi ya nalane ya bophelo ba bona. 