A health management method and system for early warning of diabetic ketoacidosis
A technology for diabetic ketosis and health management, applied in the field of medical information processing, can solve problems such as threats to human life safety, lack of sufficient awareness of risks, and low alertness of patients to physiological indicators, so as to improve accuracy and realize self-management Effect
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Embodiment 1
[0041] Diabetic ketoacidosis (DKA) refers to hyperglycemia, hyperketones, ketonuria, dehydration, electrolyte disturbance, metabolic disorders, and The syndrome of pathological changes such as acidosis is one of the common emergencies in internal medicine. Diabetic ketoacidosis has a tendency to recur. Therefore, after ketosis or ketoacidosis is corrected, patients should remain vigilant against the cause, adhere to the correct treatment method, treat infection early and effectively, and adjust insulin and other hypoglycemic agents in time. Dosage of medications to prevent recurrence of diabetic ketoacidosis. However, the relevant physiological indicators of diabetic patients have been in the abnormal range for a long time, which makes patients less alert to abnormal physiological indicators. Therefore, this embodiment provides a health management method for early warning of diabetic ketoacidosis, which can obtain the risk probability of diabetic ketoacidosis of the target ob...
Embodiment 2
[0088] A health management system for early warning of diabetic ketoacidosis, such as figure 2 As shown, the health management method for early warning of diabetic ketoacidosis described in Example 1 is implemented, including:
[0089] An acquisition module, configured to acquire historical detection data and current physiological feature detection data of the target object;
[0090] An analysis module, configured to analyze and process the current physiological feature detection data and the historical detection data to obtain the risk probability of diabetic ketoacidosis of the target object;
[0091] The early warning module is used to generate early warning information according to the risk probability when the risk probability meets the preset early warning conditions.
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