International Business Machines Corporation
Identifying group and individual-level risk factors via risk-driven patient stratification

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Abstract:

Systems and methods for individual risk factor identification include identifying common risk factors for one or more risk targets from population data. Individuals are stratified into clusters based upon the common risk factors. A discriminability of each of the common risk factors is determined, using a processor, for a target cluster using individual data of the target cluster to provide re-ranked common risk factors as individual risk factors for the target cluster, such that the discriminability is a measure of how a risk factor discriminates its cluster from other clusters.

Status:
Grant
Type:

Utility

Filling date:

9 May 2018

Issue date:

7 Dec 2021