Machine Learning-Based Nicotine Addiction Prediction Models for Youth E-Cigarette and Waterpipe (Hookah) Users

Machine Learning-Based Nicotine Addiction Prediction Models for Youth E-Cigarette and Waterpipe (Hookah) Users

Despite the harmful effect on health, e-cigarette and hookah smoking in youth in the U.S. has increased. Developing tailored e-cigarette and hookah cessation programs for youth is imperative. The aim of this study was to identify predictor variables such as social, mental, and environmental determin...

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Bibliographic Details
Main Authors: Jeeyae Choi, Hee-Tae Jung, Anastasiya Ferrell, Seoyoon Woo, Linda Haddad
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Clinical Medicine
Subjects:
smoking
machine learning
nicotine addiction
youth e-cigarette use
youth waterpipe use
Online Access:https://www.mdpi.com/2077-0383/10/5/972

Internet

https://www.mdpi.com/2077-0383/10/5/972

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