Abstract
In today′s aging society, the shortage of doctors may cause a delay of medical treatment. At the same time, the increasing expense of medical insurance has become a great burden to society. Therefore, we focus on the construction of a home doctor system intended to solve these problems. In this paper, we propose a construction approach of health checker and adviosr system for lifestyle-related diseases prevention. Firstly, the vague concept of medical knowledge is quantified by using fuzzy sets. Secondly, a method is developed to convert personal physiological time-series information into fuzzy membership functions. Furthermore, based on the Distance-Type Fuzzy Reasoning Method, reasoning algorithms of health checkup and health prediction are built up, which could be used to promote better lifestyles. Finally, the usability of proposed methods were discussed by the experiments of the health-check system.
