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Trevor Cohen

Biographic Data

ID6070627
NAMETrevor Cohen
GIVEN NAMESTrevor
FAMILY NAMECohen
SIGNATURECOHEN T
AFFILIATIONSSahiti Myneni and Trevor Cohen are with the School of Biomedical Informatics, University of Texas Health Science Center at Houston, and Kayo Fujimoto is with the Division of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas, Houston. Nathan Cobb is with the Division of Pulmonary and Critical Care, Department of Medicine, Georgetown University Medical Center, Washington, DC, and MeYou Health LLC, Boston, MA.
ORCID0000-0003-0159-6697
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS2
WORKS AS AUTHOR3
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Reading the written language environment

    Open Access•Teresa Schubert, Teresa Marie Schubert et al.•ARTICLE•Journal of Memory and Language•2020

  • Content-Driven Analysis of an Online Community for Smoking Cessation

    Sahiti Myneni, K Fujimoto et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 2•References: 32

    Objectives. We identified content-specific patterns of network diffusion underlying smoking cessation in the context of online platforms, with the aim of generating targeted intervention strategies. Methods. QuitNet is an online social network for smoking cessation. We analyzed 16 492 de-identified peer-to-peer messages from 1423 members, posted between March 1 and April 30, 2007. Our mixed-methods approach comprised qualitative coding, automated…

  • Cognitive Informatics in Health and Biomedicine

    Open Access•Jessica S Ancker, José F Arocha et al.•EDITOR•BOOK•Cognitive Informatics in Health…•2014

  • Cognitive Informatics in Health and Biomedicine

    David R Kaufman, Jessica S Ancker et al.•BOOK•Cognitive Informatics in Health…•2013

  • Content-Driven Analysis of an Online Community for Smoking Cessation

    Sahiti Myneni, K Fujimoto et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 2•References: 32

    Objectives. We identified content-specific patterns of network diffusion underlying smoking cessation in the context of online platforms, with the aim of generating targeted intervention strategies. Methods. QuitNet is an online social network for smoking cessation. We analyzed 16 492 de-identified peer-to-peer messages from 1423 members, posted between March 1 and April 30, 2007. Our mixed-methods approach comprised qualitative coding, automated…

  • Cognitive Informatics in Health and Biomedicine

    David R Kaufman, Jessica S Ancker et al.•BOOK•Cognitive Informatics in Health…•2013

  • Cognitive Informatics in Health and Biomedicine

    Open Access•Jessica S Ancker, José F Arocha et al.•EDITOR•BOOK•Cognitive Informatics in Health…•2014

  • Content-Driven Analysis of an Online Community for Smoking Cessation

    Sahiti Myneni, K Fujimoto et al.•ARTICLE•American Journal of Public Health•2015•Cited by: 2•References: 32

    Objectives. We identified content-specific patterns of network diffusion underlying smoking cessation in the context of online platforms, with the aim of generating targeted intervention strategies. Methods. QuitNet is an online social network for smoking cessation. We analyzed 16 492 de-identified peer-to-peer messages from 1423 members, posted between March 1 and April 30, 2007. Our mixed-methods approach comprised qualitative coding, automated…

  • Reading the written language environment

    Open Access•Teresa Schubert, Teresa Marie Schubert et al.•ARTICLE•Journal of Memory and Language•2020

Computer Science (3 works) · Psychology (3 works) · Cognition (2 works) · Critical care medicine (2 works) · Health (2 works) · Medical records (2 works) · Medicine (2 works) · Medicine, data processing (2 works) · Abstinence (1 work) · Artificial Intelligence (1 work)

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