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

Reviews in Medical Informatics (93) Advanced Data Analytics in eHealth (133) Electronic Health Records (1053) Machine Learning (1465) Natural Language Processing (692) New Technologies (77) Data Science (270)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49781, first published .
Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review

Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review

Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review

Authors of this article:

Allison Grothman1 Author Orcid Image ;   William J Ma1 Author Orcid Image ;   Kendra G Tickner1 Author Orcid Image ;   Elliot A Martin1, 2 Author Orcid Image ;   Danielle A Southern1, 3 Author Orcid Image ;   Hude Quan1, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Allison Grothman   1 ;   William J Ma   1 ;   Kendra G Tickner   1 ;   Elliot A Martin   1, 2 , PhD ;   Danielle A Southern   1, 3 , MSc ;   Hude Quan   1, 3 , MD, PhD

1 Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

2 Health Research Methods and Analytics, Alberta Health Services, Calgary, AB, Canada

3 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

Corresponding Author:

  • Elliot A Martin, PhD
  • Centre for Health Informatics
  • Cumming School of Medicine
  • University of Calgary
  • CWPH Building, 3280 Hospital Drive NW
  • Calgary, AB, T2N 4Z6
  • Canada
  • Phone: 1 403-220-2779
  • Fax: 1 403-210-9744
  • Email: eamartin@ucalgary.ca