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

Wearables and MHealth Reviews (260) Machine Learning (1401) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32344, first published .
Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review

Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review

Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review

Authors of this article:

Andreas Triantafyllidis1 Author Orcid Image ;   Haridimos Kondylakis2 Author Orcid Image ;   Dimitrios Katehakis2 Author Orcid Image ;   Angelina Kouroubali2 Author Orcid Image ;   Lefteris Koumakis2 Author Orcid Image ;   Kostas Marias2 Author Orcid Image ;   Anastasios Alexiadis1 Author Orcid Image ;   Konstantinos Votis1 Author Orcid Image ;   Dimitrios Tzovaras1 Author Orcid Image
Article Authors Cited by (21) Tweetations (5) Metrics

Andreas Triantafyllidis   1 * , PhD ;   Haridimos Kondylakis   2 * , PhD ;   Dimitrios Katehakis   2 * , MS ;   Angelina Kouroubali   2 * , PhD ;   Lefteris Koumakis   2 * , PhD ;   Kostas Marias   2 * , PhD ;   Anastasios Alexiadis   1 * , PhD ;   Konstantinos Votis   1 * , PhD ;   Dimitrios Tzovaras   1 * , PhD

1 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

2 Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece

*all authors contributed equally

Corresponding Author:

  • Andreas Triantafyllidis, PhD
  • Information Technologies Institute
  • Centre for Research and Technology Hellas
  • 6th Km Charilaou-Thermi
  • Thessaloniki, 57001
  • Greece
  • Phone: 30 6946059255
  • Email: atriand@iti.gr