Complex modeling with detailed temporal predictors does not improve health records-based suicide risk prediction

Abstract Suicide risk prediction models can identify individuals for targeted intervention. Discussions of transparency, explainability, and transportability in machine learning presume complex prediction models with many variables outperform simpler models. We compared random forest, artificial neu...

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Bibliographic Details
Main Authors: Susan M. Shortreed, Rod L. Walker, Eric Johnson, Robert Wellman, Maricela Cruz, Rebecca Ziebell, R. Yates Coley, Zimri S. Yaseen, Sai Dharmarajan, Robert B. Penfold, Brian K. Ahmedani, Rebecca C. Rossom, Arne Beck, Jennifer M. Boggs, Greg E. Simon
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-023-00772-4