公开(公告)号：US20240145059A1

公开(公告)日：2024-05-02

申请号：US18364470

申请日：2023-08-02

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Yu WANG ,  Shuang MA ,  Yu TIAN ,  Tianshu ZHOU

IPC: G16H20/10 ,  G16H10/20 ,  G16H10/60

CPC classification number: G16H20/10 ,  G16H10/20 ,  G16H10/60

Abstract: Disclosed is a method and a system for discovering adverse drug reaction signals based on causal discovery. According to the present application, a causality is introduced in the process of discovering adverse drug reaction signals by using electronic medical record data, the data dimension in real-world electronic medical record data is maximally reserved, a Bayesian network structure containing causal effects, as well as a set of confounding factors which plays a role in both a medication intervention and an occurrence of an adverse event are constructed. The method of constructing the set of confounding factors starts from the data, without artificial access and prior knowledge, and retains the confounding factors in the real world to the greatest extent. A medication intervention group and a control group are constructed based on these confounding factors, and the randomized controlled trial is simulated.