TRAINING DEVICE, TRAINING METHOD, ATTRIBUTE DATA GENERATION DEVICE, ATTRIBUTE DATA GENERATION METHOD, AND PROGRAM

Abstract

In order to generate insufficient attribute data by existing attribute data, a training device uses AI or machine learning models to train an attribute data generation device. An acquisition means acquires first and second attribute data other than the first attribute data. A first encoder converts the second attribute data into a stochastic latent variable. A second encoder projects the stochastic latent variable to a latent space, clusters projection points into clusters, and outputs centroids indicating centers of gravity of the clusters. A decoder reconstructs the second attribute data based on the projection points. An optimization means optimizes the first and second encoders, and the decoder based on relationships between the projection points and the centers of gravity and a relationship between the clusters. An analysis result of a health condition and a disease risk using the attribute data is used for supporting a decision making regarding a subject's activity.

CPC Classifications