Development of an alternative growth curve which is concerned with the prevention of lifestyle diseases through deep learning

Lifestyle-related diseases are a global health issue, but effective remedies have not been established. We worked on this research subject in order to build evidence of the approach strategy by the life course approach. The task is divided into three goals: Goal 1: Construction of a system for big data collection, Goal 2: Improvement of accuracy of pattern classification of physique transition in childhood and physique prediction after adolescence by adiposity rebound (AR) Examination of ability, goal 3. It was a study of domestic and foreign guidelines for an approach starting from the embryonic period. As a result, the physique of Japanese children can be classified into 4 boys and 3 girls, and the AR period is 3 to 7 years old, and AR under 6 years old may significantly increase the risk of developing obesity in early adolescence. Indicated.