Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study.

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Bibliographic Details
Title: Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study.
Authors: Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States.; Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States., Colditz JB; School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States., O'Halloran P; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States., Han NR; Department of Linguistics, University of Pittsburgh, Pittsburgh, PA, United States., Taneja SB; Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States., Welling J; Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, PA, United States., Chu KH; School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States., Sidani JE; School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States., Primack BA; College of Education and Health Professions, University of Arkansas, Fayetteville, AR, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2020 Aug 12; Vol. 22 (8), pp. e17478. Date of Electronic Publication: 2020 Aug 12.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1438-8871
DOI:10.2196/17478