About this document
Machine Learning in SUD Treatment Outcomes by 24wh1d5807 is a document available to read on EtoBox.
The document reviews the application of machine learning (ML) in predicting treatment outcomes for substance use disorders (SUD), highlighting its complexity and potential benefits. It discusses various ML methods, datasets used, and identifies promising predictive capabilities while noting limitations such as data leakage and poor validation. Future directions include the need for standardization, better data practices, and broader population representation.
- Author
- 24wh1d5807
- Language
- EN