Identifying Smoking Environments From Images of Daily Life With Deep Learning-Reference-Cited by-同舟云学术

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Identifying Smoking Environments From Images of Daily Life With Deep Learning

Published:2019-08-02 Issue:8 Volume:2 Page:e197939
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Engelhard Matthew M.¹,Oliver Jason A.¹,Henao Ricardo²,Hallyburton Matt¹,Carin Lawrence E.³,Conklin Cynthia⁴,McClernon F. Joseph¹

Affiliation:

1. Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina

2. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina

3. Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina

4. Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/article-pdf/2/8/e197939/17755466/engelhard_2019_oi_190317.pdf

Reference34 articles.

1. Quitting smoking among adults—United States, 2001-2010.;Centers for Disease Control and Prevention (CDC);MMWR Morb Mortal Wkly Rep,2011

2. Bringing the real world into the laboratory: personal smoking and nonsmoking environments.;Conklin;Drug Alcohol Depend,2010

3. Hippocampal and insular response to smoking-related environments: neuroimaging evidence for drug-context effects in nicotine dependence.;McClernon;Neuropsychopharmacology,2016

4. Smoking environment cues reduce ability to resist smoking as measured by a delay to smoking task.;Stevenson;Addict Behav,2017

5. Prevalence and frequency of mHealth and eHealth use among US and UK smokers and differences by motivation to quit.;Borrelli;J Med Internet Res,2015

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