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

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 neural netwo...

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Detalles Bibliográficos
Autores principales: Shortreed, Susan M., Walker, Rod L., Johnson, Eric, Wellman, Robert, Cruz, Maricela, Ziebell, Rebecca, Coley, R. Yates, Yaseen, Zimri S., Dharmarajan, Sai, Penfold, Robert B., Ahmedani, Brian K., Rossom, Rebecca C., Beck, Arne, Boggs, Jennifer M., Simon, Greg E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036475/
https://www.ncbi.nlm.nih.gov/pubmed/36959268
http://dx.doi.org/10.1038/s41746-023-00772-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036475/
https://www.ncbi.nlm.nih.gov/pubmed/36959268
http://dx.doi.org/10.1038/s41746-023-00772-4

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