Work

Predicting the first smoking lapse during a quit attempt: A machine learning approach

Year: 2020

Type: article

Study design: Observational Study

Source: Drug and Alcohol Dependence

DOI: 10.1016/j.drugalcdep.2020.108340

Authors: Emily T. Hébert, Robert Suchting, Chaelin K. Ra, Adam C. Alexander, Darla E. Kendzor, Damon J. Vidrine, Michael S. Businelle

Institutions: The University of Texas Health Science Center at Houston, University of Oklahoma Health Sciences Center, Moffitt Cancer Center

Language: English

Topic: Smoking Behavior and Cessation

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institute on Drug Abuse, National Cancer Institute

Awards: Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking Cessation, G309983176, Stephenson Cancer Center - Cancer Center Support Grant

OpenAlex ID: W3092365357

FWCI: 1.132

Cites: 46

Cited by: 21

Related to: 10