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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Detalles Bibliográficos
Autores principales: Bickel, Warren K., Tomlinson, Devin C., Craft, William H., Ma, Manxiu, Dwyer, Candice L., Yeh, Yu-Hua, Tegge, Allison N., Freitas-Lemos, Roberta, Athamneh, Liqa N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194042/
https://www.ncbi.nlm.nih.gov/pubmed/37214256
http://dx.doi.org/10.1016/j.addicn.2023.100068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194042/
https://www.ncbi.nlm.nih.gov/pubmed/37214256
http://dx.doi.org/10.1016/j.addicn.2023.100068

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