公开(公告)号：US20220093257A1

公开(公告)日：2022-03-24

申请号：US17543736

申请日：2021-12-07

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Tianshu ZHOU ,  Chengkai WU ,  Ying ZHANG

IPC: G16H50/20 ,  G16H10/60

Abstract: Provided is a system for the prognostics of the chronic diseases after the medical examination based on the multi-label learning, including a data acquisition module, a data preprocessing module, a basic predicting model constructing module, and a local predicting module. The data acquisition module is configured to acquire physical examination data of a physical examination user. The basic predicting model constructing module is configured to construct a multi-label learning model for a physical examination scenario. The local predicting module includes a local model training unit and a predicting unit. The local model training unit adjusts the basic predicting model into a local predicting model, and solidifies the local predicting model into the local predicting module. The predicting unit outputs a predicted prognostic index for an occurrence of a plurality of chronic diseases, and finally acquires a future expected occurrence time of the chronic diseases.