Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder.

Corey J HayesNahiyan Bin NoorRebecca A RaciborskiBradley MartinAdam J GordonKatherine HoggattTeresa HudsonMichael Cucciare

Published in: Journal of addictive diseases (2024)

Machine-learning algorithms can accurately predict OUD-related outcomes with moderate predictive performance; however, prediction of these outcomes is driven by many characteristics.

Keyphrases

machine learning
artificial intelligence
big data
deep learning
type diabetes
adipose tissue
newly diagnosed
glycemic control
weight loss