- 专利标题: Estimating personalized drug responses from real world evidence
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申请号: US16209196申请日: 2018-12-04
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公开(公告)号: US11183308B2公开(公告)日: 2021-11-23
- 发明人: Sanjoy Dey , 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 Stephen R. Tkacs; Stephen J. Walder, Jr.; William J. Stock
- 主分类号: G16H70/40
- IPC分类号: G16H70/40 ; G16H10/60 ; G16H50/20 ; G16H20/10 ; G16H50/70 ; G06F16/93
摘要:
A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a drug response estimation engine. The drug response estimation engine receives real-world evidence for a plurality of patients. A patient similarity network builder component executing within the drug response estimation engine builds a patient similarity network. A regression analysis component executing within the drug response estimation engine builds a network localized regression analysis approach. A patient clustering component executing within the drug response estimation engine groups patients based on demographics and comorbidities to form a plurality of patient clusters. The drug response estimation engine estimates drug responses for a given patient based on the patient similarity network, the network localized regression analysis approach, and the plurality of patient clusters. The drug response estimation engine outputs the drug responses for the given patient.
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