Health risk prediction models incorporating personality data: Motivation, challenges, and illustration.

ABSTRACT: The age of "big data" in health has ushered in an era of prediction models promising to forecast individual health events. Although many models focus on enhancing the predictive power of medical risk factors with genomic data, a recent proposal is to augment traditional health predictors with psychosocial data, such as personality measures. In this article we provide a general overview of the medical risk prediction models and then discuss the rationale for integrating personality data. We suggest three principles that should guide work in this area if personality data is ultimately to be useful within risk prediction as it is actually practiced in the health care system. These include (a) prediction of specific, priority health outcomes; (b) sufficient incremental validity beyond establis

SUBMITTER: Chapman BP 

PROVIDER: S-EPMC6319275 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature