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

Wearables and MHealth Reviews (276) Machine Learning (1501) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428)

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 (26) Tweetations (5) Metrics

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  16. Ortiz B, Gupta V, Kumar R, Jalin A, Cao X, Ziegenbein C, Singhal A, Tewari M, Choi S. Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care. JMIR mHealth and uHealth 2024;12:e59587 View
  17. Žlahtič B, Završnik J, Kokol P, Blažun Vošner H, Sobotkiewicz N, Antolinc Schaubach B, Kirbiš S. Trusting AI made decisions in healthcare by making them explainable. Science Progress 2024;107(3) View
  18. Ahmad Zargar A, Kumar R, Sharma A. Prediction of Different Risk Factors in Relation to Hyperlipidemia Using Framingham Risk Score and Cholesterol Risk Score in a Tertiary Care Hospital. Current Diabetes Reviews 2025;21(2) View
  19. Sufian M, Alsadder L, Hamzi W, Zaman S, Sagar A, Hamzi B. Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics. Diagnostics 2024;14(23):2675 View

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