The invention discloses a hospital obese patient intelligent
weight loss dynamic matching intervention method and
decision making system based on multi-
modal data fusion, and relates to the field of
medical health, and the method comprises the following steps: S1, carrying out the real-time collection and fusion of multi-
modal data; s2, dynamic
metabolism modeling and
plateau period breakthrough; s3, generating a hierarchical intervention strategy; s4, performing psychological-physiological linkage intervention; and S5, performing real-time
safety control and feedback optimization. By collecting multi-dimensional data, constructing the model, accurately predicting the
metabolic rate, the metabolic
plateau period and the sudden eating tendency, dynamically adjusting the
exercise intensity and the diet scheme according to the conditions of different patients, triggering a low-intensity exercise mode for the obese patients with cardiac insufficiency and calibrating diet, ensuring the exercise safety, and improving the exercise efficiency. Operation suggestions are generated on the basis of the standard, precise preoperative evaluation is conducted,
postoperative rehabilitation is optimized in combination with
nerve stimulation data, dangerous postures are monitored, the sport
injury risk is reduced, and personalized, safe and efficient intelligent weight reduction intervention for obese patients is achieved.