Machine learning application for predicting smoking cessation among US adults: An analysis of waves 1-3 of the PATH study

Identifying determinants of smoking cessation is critical for developing optimal cessation treatments and interventions. Machine learning (ML) is becoming more prevalent for smoking cessation success prediction in treatment programs. However, only individuals with an intention to quit smoking cigare...

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Detalles Bibliográficos
Autores principales: Issabakhsh, Mona, Sánchez-Romero, Luz Maria, Le, Thuy T. T., Liber, Alex C., Tan, Jiale, Li, Yameng, Meza, Rafael, Mendez, David, Levy, David T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249849/
https://www.ncbi.nlm.nih.gov/pubmed/37289765
http://dx.doi.org/10.1371/journal.pone.0286883

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249849/
https://www.ncbi.nlm.nih.gov/pubmed/37289765
http://dx.doi.org/10.1371/journal.pone.0286883

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