发明授权
- 专利标题: Data-driven prediction of drug combinations that mitigate adverse drug reactions
-
申请号: US16654539申请日: 2019-10-16
-
公开(公告)号: US11037656B2公开(公告)日: 2021-06-15
- 发明人: Jianying Hu , Ying Li , Zhaonan Sun , Ping Zhang
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 代理商 Kristofer L. Haggerty
- 主分类号: G06N5/02
- IPC分类号: G06N5/02 ; G16C20/30 ; G06N5/00
摘要:
Predicting beneficial drug combinations mitigating adverse drug reactions identifies drug combinations and associated target adverse drug reaction from a spontaneous reporting system containing case reports of drugs and associated adverse drug reactions. Each drug combination comprises a first drug and a second drug, and a propensity score is computed for each drug in each group. This propensity score expresses a probability of being exposed to a given drug based on other co-prescribed drugs and reported indications, which reflect patient characteristics. Associations are computed for each drug as well as drug interaction. Among the associations, the sum of the associations of the second drug and the interaction effect represents the predicted beneficial score expressing whether the second drug alters the chance of developing the target adverse drug reaction for patients on the first drug. The interaction effect is referred to as predicted interaction score, and represents antagonistic or synergistic drug interactions.
公开/授权文献
信息查询