This paper is in the following e-collection/theme issue:

Proposals (eHealth) (80) Substance Abuse (419) Artificial Intelligence (1371) Mobile Health (mhealth) (2939) Machine Learning (1465) Machine Learning (49)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46493, first published .
Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study

Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study

Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study

Authors of this article:

Yinan Sun1 Author Orcid Image ;   Ali Kargarandehkordi1 Author Orcid Image ;   Christopher Slade1 Author Orcid Image ;   Aditi Jaiswal1 Author Orcid Image ;   Gerald Busch2 Author Orcid Image ;   Anthony Guerrero2 Author Orcid Image ;   Kristina T Phillips3 Author Orcid Image ;   Peter Washington1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Yinan Sun   1 , MA ;   Ali Kargarandehkordi   1 , MSc ;   Christopher Slade   1 , MSc ;   Aditi Jaiswal   1 , MSc ;   Gerald Busch   2 , MPH, MD ;   Anthony Guerrero   2 , MD ;   Kristina T Phillips   3 , PhD ;   Peter Washington   1 , PhD

1 Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu, HI, United States

2 Department of Psychiatry, University of Hawaii at Manoa, Honolulu, HI, United States

3 Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu, HI, United States

Corresponding Author:

  • Peter Washington, PhD
  • Department of Information and Computer Sciences
  • University of Hawaii at Manoa
  • 1680 East-West Road
  • Honolulu, HI, 96822
  • United States
  • Phone: 1 5126800926
  • Email: pyw@hawaii.edu