Patent ID: 11967430
Assignee: OPTUM SERVICES (IRELAND) LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
generating, by one or more processors, a plurality of cross-variant polygenic risk data objects based at least in part on using a trained polygenic machine learning model trained based at least in part on a plurality of training genetic sequences comprising genetic sequences associated with a plurality of individuals;
identifying, by the one or more processors and from the plurality of cross-variant polygenic risk data objects, one or more primary cross-variant polygenic risk data objects for a primary medical condition;
identifying, by the one or more processors and from the plurality of cross-variant polygenic risk data objects, one or more secondary cross-variant polygenic risk data objects for a secondary medical condition;
generating, by the one or more processors, a cross-condition polygenic similarity measure between the primary medical condition and the secondary medical condition based at least in part on comparing the one or more primary cross-variant polygenic risk data objects and the one or more secondary cross-variant polygenic risk data objects; and
initiating, by the one or more processors, the performance of one or more prediction-based actions based at least in part on the cross-condition polygenic similarity measure.