Chronic disease follow-up visit supervision method and device based on artificial intelligence and computer equipment

Abstract

The invention discloses a chronic disease follow-up visit supervision method and device based on artificial intelligence and computer equipment, relates to the technical field of artificial intelligence, and can solve the technical problems of low supervision intelligence and poor supervision effect caused by the fact that a doctor needs to manually formulate a follow-up visit strategy in a current chronic disease follow-up visit supervision mode based on artificial intelligence. The method comprises the following steps: collecting patient pathology data of a target patient according to a preset time period, wherein the patient pathology data comprise patient identity data and patient follow-up visit data; extracting pathological features of the follow-up visit data of the patient by using a pathological knowledge graph; inputting the pathological features into a chronic disease risk prediction model, and determining a chronic disease risk prediction result of the target patient through the chronic disease risk prediction model, wherein the chronic disease risk prediction model is obtained through training based on an extreme gradient lifting algorithm; and determining a target follow-up visit supervision strategy matched with the patient identity data and the chronic disease risk prediction result based on a user portrait technology, and executing follow-up visit supervision processing on the target patient according to the target follow-up visit supervision strategy.

Description

technical field [0001] This application relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based chronic disease follow-up supervision method, device and computer equipment. Background technique [0002] Chronic diseases are also called "chronic non-infectious diseases (NCDS)" or "chronic diseases". An umbrella term for persistent noncommunicable diseases. Chronic diseases include many diseases, including diseases of the endocrine system, cardiovascular system, nervous system, digestive system, etc. Common chronic diseases include: hypertension, diabetes, hyperlipidemia, coronary heart disease, malignant tumors, ventilation, Parkinson's disease, chronic obstructive pulmonary disease, chronic hepatitis, etc. The characteristics of chronic diseases require regular follow-up visits, and regular follow-up visits to the hospital for follow-up visits, including examinations, adjustments to treatment plans, and prescriptions. ...

AI Technical Summary

Problems solved by technology

[0005] In view of this, this application provides an artificial intelligence-based chronic disease follow-up supervision method, device and computer equipment, which can be used to solve the current artificial intelligence-based chronic disease follow-up supervision method, which requires doctors to manually formulate follow-up strategies, resulting in intelligent supervision Low, poorly regulated technical issues

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