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

Reviews in Digital Mental Health (228) Depression and Mood Disorders; Suicide Prevention (1290) Diagnostic Tools in Mental Health (224) Artificial Intelligence (1214) mHealth for Screening (194) Cancer Survivorship (252) e-Mental Health and Cyberpsychology (1411) Emotional, Social, Psychological Support for Cancer (190) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (91)

Published on in Vol 8, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30439, first published .
Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review

Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review

Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review

Authors of this article:

Urška Smrke1 Author Orcid Image ;   Izidor Mlakar1 Author Orcid Image ;   Simon Lin2, 3 Author Orcid Image ;   Bojan Musil4 Author Orcid Image ;   Nejc Plohl4 Author Orcid Image
Article Authors Cited by (9) Tweetations (7) Metrics

Urška Smrke   1 , MA ;   Izidor Mlakar   1 , PhD ;   Simon Lin   2, 3 , MD ;   Bojan Musil   4 , PhD ;   Nejc Plohl   4 , MA

1 Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia

2 Science Department, Symptoma, Vienna, Austria

3 Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria

4 Department of Psychology, Faculty of Arts, University of Maribor, Maribor, Slovenia

Corresponding Author:

  • Urška Smrke, MA
  • Faculty of Electrical Engineering and Computer Science
  • University of Maribor
  • Koroška cesta 46
  • Maribor, 2000
  • Slovenia
  • Phone: 386 31262861
  • Email: urska.smrke@um.si