A systematic review of machine learning applications in predicting opioid associated adverse events

A systematic review of machine learning applications in predicting opioid associated adverse events

Abstract Machine learning has increasingly been applied to predict opioid-related harms due to its ability to handle complex interactions and generating actionable predictions. This review evaluated the types and quality of ML methods in opioid safety research, identifying 44 studies using supervise...

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Bibliographic Details
Main Authors:	Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Series:	npj Digital Medicine
Online Access:	https://doi.org/10.1038/s41746-024-01312-4
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