Japan Society for the Promotion of Science:Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)
Date (from‐to) : 2017/04 -2021/03
Author : Miyauchi Yoshiaki
We reexamined the model structure and modified the program so that the health process model based on the state transition probability that we constructed earlier corresponds to the data structure of NDB. For the expression of the health status of the examinees, we used the binarization of the health examination data based on the health examination judgment standard value and the expression of the health condition of 16 states by logical sum. Next, in order to improve the accuracy and reliability of the health process model as the data is accumulated year by year, we have developed a mechanism to automatically calculate and update by applying AI technology. In addition, we worked on Android application development so that the examinees can utilize the health process model on a daily basis. By integrating them, the basic configuration of the "health process model system", which is the purpose, was realized.