From machine learning to deep learning: A comprehensive study of alcohol and drug use disorder

From machine learning to deep learning: A comprehensive study of alcohol and drug use disorder

This study aims to train and validate machine learning and deep learning models to identify patients with risky alcohol and drug misuse in a Screening, Brief Intervention, and Referral to Treatment (SBIRT) program. An observational cohort of 6978 adults was admitted in the western region of Alabama...

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Bibliographic Details
Main Authors: Banafsheh Rekabdar, David L. Albright, Justin T. McDaniel, Sameerah Talafha, Haelim Jeong
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Healthcare Analytics
Subjects:
Artificial intelligence
Machine learning
Deep learning
Screening
Brief Intervention, and Referral to Treatment (SBIRT)
Substance Abuse and Mental Health Services Administration’s (SAMHSA)
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442522000454

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