An extension method of sub-health intelligent prediction and transformation

Abstract

With the development of people's growing emphasis on health and the improving personal intelligent devices, wearable intelligent health monitoring devices have been popularized, and the data detected by them have great application potential in the prediction and improvement of sub-health. The current situation of wearable intelligent health monitoring devices is summarized, and the data of existing products and the data processing methods are listed. In order to study the relationship between physiological health data and sub-health, a construction method of decision tree and transformation tree based on extension theory is proposed, which enables it to intelligently acquire the rule knowledge of state transformation from the perspective of dynamic, and evaluate and analyze it through the superiority evaluation.