发明申请
- 专利标题： INTERPRETABLE BIO-MEDICAL LINK PREDICTION USING DEEP NEURAL REPRESENTATION
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申请号： US15943773申请日： 2018-04-03
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公开(公告)号： US20190303535A1公开(公告)日： 2019-10-03
- 发明人: Achille B. Fokoue-Nkoutche , YINGKAI Gao , HENG LUO , PING ZHANG , Sanjoy Dey
- 申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
- 主分类号： G06F19/24
- IPC分类号： G06F19/24 ; G06N5/04 ; G06N7/00 ; G06N3/08 ; G06F17/30 ; G06N3/04 ; G06N99/00 ; G06F17/16
摘要：
Link prediction for biomedical entities. A neural network is trained using known associations between biomedical entities, including their vector representations and additional information-carrying content describing the biomedical entities. The trained network infers or predicts unobserved associations between two entities.
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