Predictors of smoking cessation outcomes identified by machine learning: A systematic review

Predictors of smoking cessation outcomes identified by machine learning: A systematic review

This systematic review aims to characterize the utility of machine learning to identify the predictors of smoking cessation outcomes and identify the machine learning methods applied in this area. In the current study, multiple searches occurred through December 9, 2022 in MEDLINE, Science Citation...

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Bibliographic Details
Main Authors: Warren K. Bickel, Devin C. Tomlinson, William H. Craft, Manxiu Ma, Candice L. Dwyer, Yu-Hua Yeh, Allison N. Tegge, Roberta Freitas-Lemos, Liqa N. Athamneh
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Addiction Neuroscience
Subjects:
Smoking cessation
Machine learning
Systematic review
Online Access:http://www.sciencedirect.com/science/article/pii/S2772392523000081

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http://www.sciencedirect.com/science/article/pii/S2772392523000081

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