Ke Lin Yu

US Patent:

20150235000, Aug 20, 2015

Filed:

Feb 19, 2014

Appl. No.:

14/184129

Inventors:

- ARMONK NY, US
PEI-YUN HSUEH - NEW YORK NY, US
PETER MOOIWEER - CARLISLE MA, US
SREERAM RAMAKRISHNAN - YORKTOWN HEIGHTS NY, US
SHWETA SHARMA - AVENEL NJ, US
KE YU - BOSTON MA, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - ARMONK NY

International Classification:

G06F 19/00

Abstract:

A method, system, and/or computer program product automatically abstracts and selects an optimal set of variance-related features that are indicative of an individual outcome and personalized plan selection in health care. An abstracted set of candidate variance-related patient features, which comprise temporally heteroskedastic features, is generated. Each patient feature from the abstracted set of candidate variance-related patient features is optimized by identifying a time period in which variances and heteroskedasticity of each patient feature are maximized, where the optimizing creates an optimal abstracted set of variance-related patient features from the time period in which the variances and heteroskedasticity of each patient feature are maximized. The optimal abstracted set of variance-related patient features is then used for a current patient to predict a particular outcome and/or to create a personalized health care treatment plan.