- 专利标题： Predicting infection risk using heterogeneous temporal graphs
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申请号： US17009043申请日： 2020-09-01
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公开(公告)号： US11664130B2公开(公告)日： 2023-05-30
- 发明人: Girmaw Abebe Tadesse , Chen Lin , Roxana Monge Nunez , Maja Vukovic , Komminist Weldemariam
- 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 David K. Mattheis
- 主分类号： G16H50/80
- IPC分类号： G16H50/80 ; G16H50/50 ; G16H50/70 ; G16H40/20 ; G06Q30/0204 ; G16H50/30 ; G06N20/00 ; H04W4/12 ; G09B19/00 ; G16H50/20 ; H04W4/021 ; G16H10/60 ; H04W4/029
摘要：
Predicting infection risk by generating a first temporal graph of a first set of disease progression data, generating a second temporal graph of a second set of disease progression data, combining a first temporal graph node embedding and a second temporal graph node embedding, and generating a predicted infection risk according to the first temporal graph node embedding and the second temporal graph node embedding.
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