The present invention processes yearly medical data of a user to be input to a machine learning apparatus for predicting dementia, and a data set of optimal features is constructed. The optimal features include at least information about a disease history of the user and include yearly medical information of the user for the last seven years or less. It is possible to accurately predict and diagnose dementia by constructing the optimal features learned through experiments from yearly medical data of the user. Specific experimental results show the best prediction result is obtained by observing the disease history for the last seven years or less, rather than observing medical information for an indefinite long period of time, thereby providing appropriate criteria for dementia prediction.
APPARATUS FOR DATA PROCESSINGFOR PREDICTING DEMENTIA THROUGH MACHINE LEARNING, METHOD THEREOF, AND RECORDING MEDIUM STORING SAME