Optum, Inc.

William Drayton Taylor

Austin Laboy Schick

Corey D McMillan

Donald Landrum

Columbus Dong

Rachel Szabo

William Alexander Wood

Austin T Gansz

Techniques for integrative machine learning using sentiment-based predictive inferences and symptom-based predictive are discussed herein. In one example, a method includes determining, based on one or more health monitoring logs, a first distribution of symptomatic prediction labels over a first period of time associated with the one or more health monitoring logs; processing the one or more health monitoring logs and using a sentiment detection machine learning model to determine a second distribution of extracted sentiment scores over the first period of time; generating, based on the first distribution and the second distribution, an aggregate distribution of inferred health-related predictions over the first period of time; and causing display of an aggregate distribution user interface that is configured to display the aggregate distribution.

Integrative machine learning framework for combining sentiment-based and symptom-based predictive inferences

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Boston, MA, United States of America

William Drayton Taylor