Abstract: A method and a system thereof for generating a personalized biological age prediction model are proposed. The method and the system generate a model capable of predicting a biological age for each individual by obtaining an excess age for a chronological age for each age on the basis of medical checkup data. More particularly, the method and the system build a biological age prediction model by gender and chronological age group in consideration of aging mechanisms different from each other according to the gender and the chronological age group, and enable predicting the biological age according to the biological age prediction model for each age group.

Abstract: The present disclosure relates to a statistical analysis system. More particularly, the present disclosure relates to a statistical analysis system capable of inferring the purpose of a user's analysis, etc. through questions and answers with the user so that ordinary people easily acquire clinical and statistical analysis information, the system using a conversational interface adapted to a statistical analysis for clinical data.