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Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort

Psychology

Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort

D. H. M. Pelt, P. C. Habets, et al.

Discover groundbreaking insights from researchers Dirk H M Pelt, Philippe C Habets, and their team, who utilized longitudinal data from the Netherlands Twin Register to unveil how exposome factors like optimism and social support predict adult well-being. While genetic data fell short, understanding the psychosocial landscape proves essential in this compelling study.

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