- 专利标题: GRAPH-BASED PREDICTIVE INFERENCE
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申请号: US16803465申请日: 2020-02-27
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公开(公告)号: US20210272693A1公开(公告)日: 2021-09-02
- 发明人: Mark Gregory Megerian , Edward Sverdlin , Jonathan Lawrence Herke , Brent Mosier , Andrew Waiming Han
- 申请人: Optum, Inc.
- 申请人地址: US MN Minnetonka
- 专利权人: Optum, Inc.
- 当前专利权人: Optum, Inc.
- 当前专利权人地址: US MN Minnetonka
- 主分类号: G16H50/20
- IPC分类号: G16H50/20 ; G16H20/10 ; G06F9/54 ; G06F17/18
摘要:
There is a need to perform predictive inference to predict likely adverse events of a drug regimen consisting of multiple drugs. In one example, a method includes determining, based at least in part on a graph-based predictive database, one or more predictive categories for each patient node of a plurality of patient nodes; determining, based at least in part on each one or more predictive categories for a patient node and each of one or more patient attribute nodes for a patient node, a related patient cohort for the primary patient node, wherein the related patient cohort comprises the primary patient node and one or more related patient nodes; determining, based at least in part on one or more intake relationships for each patient node in the related patient cohort, a first related drug profile for the primary patient node; and generating a first prediction interface based at least in part on the first related drug profile.
公开/授权文献
- US11763946B2 Graph-based predictive inference 公开/授权日:2023-09-19
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