Periodic behavior report generation method and device, storage medium and electronic equipment

Abstract

The invention discloses a periodic behavior report generation method, device and system, a storage medium and electronic equipment. The method comprises the following steps: collecting behavior data and health index parameters of a user in a predetermined period, the behavior data comprising at least one of an exercise behavior, a diet behavior and a medication behavior; at least partially utilizing a machine learning model to generate a periodic behavior report of the predetermined period for the user according to the behavior data and the health index parameters, the periodic behavior report at least comprising an evaluation result of the predetermined period and behavior suggestions and / or index targets of the next period; updating a behavior tag of the user based on the periodic behavior report, and collecting patient education content matched with the behavior tag; and sending the periodic behavior report and the patient education content to the user. According to the invention, the user behavior intervention effect is greatly improved, and the user experience is improved.

Description

technical field [0001] Embodiments of the present application relate to user behavior guidance technology, and in particular to a method, device, system, storage medium, and electronic device for generating periodic behavior reports. Background technique [0002] In recent years, with the continuous development of the economy, people's eating patterns have also undergone great changes, and the number of obese people and patients with various diseases has continued to increase. Appropriate diet, exercise and medication behavior can help prevent obesity and overweight as well as non-communicable and chronic diseases including such as diabetes, hypertension, heart disease, stroke and cancer. Among all kinds of patients, due to the large number of diabetic patients, continuous human intervention is required, resulting in a serious decline in the quality of life of many diabetic patients, and because each patient's situation is different, the life of the patient is at a loss, whi...

AI Technical Summary

Problems solved by technology

Unfortunately, although there are devices such as blood glucose detectors for patients, they only collect and monitor the user's blood glucose level, and they do not provide any guidance for the user's related behavior, that is, the user has persisted in exercising for a period of time , whether the exercise has an impact on the user's blood sugar control, the user has taken medication, whether the medication for a period of time has helped the user's blood sugar control, whether it is excessive or insufficient, etc., the user has no way of knowing; similarly, the user's Whether eating behavior has a related impact on blood sugar, etc., users are not clear

In particular, users need to make statistics on the effect of previous behaviors on blood sugar control, and are eager to know how to exercise, take medication, diet, etc. in the next stage, that is, the effect of the user's historical behavior on blood sugar control, and whether the current behavior should Persistence, etc. are urgently needed by users, but there is currently no relevant technology for generating periodic behavior reports for users for reference

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