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...
Main Authors: | , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-03-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-023-00772-4 |