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Socioeconomic Data Fuels Deeper Understanding of Health Outcomes, Stress Levels, Motivation – Especially for New Enrollees

Socioeconomic Data Fuels Deeper Understanding of Health Outcomes, Stress Levels, Motivation – Especially for New Enrollees

As predictive analytics organizations increasingly tout the value of including non-clinical data in risk prediction models, questions have arisen beginning with where the concept first originated and how it is likely to develop moving forward.

Predictive Modeling News recently spoke with Ogi Asparouhov, PhD, the chief data scientist with LexisNexis to get answers to some of these questions. To read the full interview, download the article.

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