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

Wearables and MHealth Reviews (215) Machine Learning (1056) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1070)

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 Triantafyllidis 1 Author Orcid Image ;   Haridimos Kondylakis 2 Author Orcid Image ;   Dimitrios Katehakis 2 Author Orcid Image ;   Angelina Kouroubali 2 Author Orcid Image ;   Lefteris Koumakis 2 Author Orcid Image ;   Kostas Marias 2 Author Orcid Image ;   Anastasios Alexiadis 1 Author Orcid Image ;   Konstantinos Votis 1 Author Orcid Image ;   Dimitrios Tzovaras 1 Author Orcid Image
Article Authors Cited by (7) Tweetations (6) Metrics

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  2. Subramanian H. A Decentralized Marketplace for Patient-Generated Health Data: Design Science Approach. Journal of Medical Internet Research 2023;25:e42743 View
  3. Ramesh A, Subbaraya D, Kumar D. AI based Dynamic Prediction Model for Mobile Health Application System. International Journal of Engineering and Advanced Technology 2023;12(3):19 View
  4. Misra D, Hauge E, Crowson C, Kitas G, Ormseth S, Karpouzas G. Atherosclerotic Cardiovascular Risk Stratification in the Rheumatic Diseases:. Rheumatic Disease Clinics of North America 2023;49(1):19 View
  5. Huang T, Huang L, Yang R, Li S, He N, Feng A, Li L, Lyu J. Machine learning models for predicting survival in patients with ampullary adenocarcinoma. Asia-Pacific Journal of Oncology Nursing 2022;9(12):100141 View
  6. Tan T, Shih J, Liu S, Alkhaleefah M, Chang Y, Gochoo M. Using a Hybrid Neural Network and a Regularized Extreme Learning Machine for Human Activity Recognition with Smartphone and Smartwatch. Sensors 2023;23(6):3354 View

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