Understanding drug abstinence self efficacy through statistical analysis, machine learning and explainable AI

Understanding drug abstinence self efficacy through statistical analysis, machine learning and explainable AI

Abstract Objective This study explores the socio-demographic and psychological factors influencing Drug Abstinence Self-Efficacy (DASE) through a combined Statistical and Machine Learning (ML) framework, aiming to enhance understanding and improve intervention strategies for individuals with substan...

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Bibliographic Details
Main Authors: Priti Rekha Das, Rita Rani Talukdar, Chandan Jyoti Kumar
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Public Health
Subjects:
Substance use disorder
Drug abstinence self-efficacy
Locus of control
Machine learning
Explainable AI
Online Access:https://doi.org/10.1186/s12982-025-00879-x
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https://doi.org/10.1186/s12982-025-00879-x

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