Health management based on history of personalized physiological data using linear regression analysis

Personalized healthcare methods are attracting attention due to the extended life expectancy. A general definition of health is explained by the opposite concept of disease. To maintain a healthy state of the individual, a health management protocol based on user's own physiological data is required for individual. In this paper, we propose a protocol for predicting and managing health information of users based on personal physiological history data using linear regression analysis. Subjects were selected for obesity based on BMI, and linear regression analysis was performed between exercise parameters and obesity index according to personal training exercise. Exercise parameters are cumulative exercise distance and exercise days, and obesity parameters are BMI, body fat rate, and body muscle rate. The user can receive feedback on the predicted date that can reach the health information result and actively participate through the gamification function that visually feedbacks the changing health information through the avatar function of the smart device respectively. These protocols will be applied to a personalized health management platform that will prevent disease and maintain a healthy state in the future.