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Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach.

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Bibliographic Details
Title: Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach.
Authors: Satheeshkumar PS; Department of Medicine, Division of Hematology and Oncology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America., Lango I; University at Buffalo, Buffalo, New York, United States of America., Zafo S; Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, United States of America., Ebanks M; University at Buffalo, School of Public Health and Health Professions, Buffalo, New York, United States of America., Das RK; Department of Medicine, Division of Allergy, Immunology & Rheumatology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America., Cheung KW; Department of Medicine, Division of Allergy, Immunology & Rheumatology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America., Pili R; Department of Medicine, Division of Hematology and Oncology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America., Mahajan SD; Department of Medicine, Division of Allergy, Immunology & Rheumatology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America.
Source: PLOS digital health [PLOS Digit Health] 2026 May 05; Vol. 5 (5), pp. e0001031. Date of Electronic Publication: 2026 May 05 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2767-3170
DOI:10.1371/journal.pdig.0001031