公开(公告)号：US11763946B2

公开(公告)日：2023-09-19

申请号：US16803465

申请日：2020-02-27

申请人： Optum, Inc.

发明人： Mark Gregory Megerian ,  Edward Sverdlin ,  Jonathan Lawrence Herke ,  Brent Mosier ,  Andrew Waiming Han

IPC分类号： G16H50/20 ,  G06F17/18 ,  G06F9/54 ,  G16H20/10

CPC分类号： G16H50/20 ,  G06F9/54 ,  G06F17/18 ,  G16H20/10

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(公告)号：US20210272693A1

公开(公告)日：2021-09-02

申请号：US16803465

申请日：2020-02-27

申请人： Optum, Inc.

发明人： Mark Gregory Megerian ,  Edward Sverdlin ,  Jonathan Lawrence Herke ,  Brent Mosier ,  Andrew Waiming Han

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.