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

Digital Health Reviews (1754) Machine Learning (2124) Mobile Health (mhealth) (3513) Artificial Intelligence (2192) Wearable Devices and Sensors (1164)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53863, first published .
Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review

Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review

Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review

Authors of this article:

Yasmin Abdelaal1 Author Orcid Image ;   Michaël Aupetit2 Author Orcid Image ;   Abdelkader Baggag2 Author Orcid Image ;   Dena Al-Thani1 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. Wang Z, Wang J, Xiao T, You F. TDXAI: An MR interaction responsiveness enhancement method based on target detection and explainable artificial intelligence. Displays 2025;90:103142 View
  2. Wan J, Xu S, Lin J, Ji L, Cheng J, Li Z, Qu X, Li C. AI‐Enhanced Wearable Technology for Human Physiological Signal Detection: Challenges and Future Directions. Small 2025;21(43) View
  3. Saqib S, Mazhar T, Al-Rasheed A, Tariq M, Khan M, Shahzad T, Khan S, Hamam H. Continuous Well-Being assessment and actionable feedback using explainable regression for Edge-Enabled wearable devices. Egyptian Informatics Journal 2025;32:100805 View
  4. Vevera A, Ianculescu M, Alexandru A. A Digital Health Platform for Remote and Multimodal Monitoring in Neurodegenerative Diseases. Future Internet 2025;17(12):571 View
  5. Takano A, Okuda K, Sese J, Ono K, Matsumoto T. Individual variability in physiological responses and psychological conditions associated with methamphetamine use: Pilot study using wearable device and self-monitoring mobile application (Preprint). JMIR Formative Research 2025 View
  6. Mateusz Mierniczek , Maria Mierniczek , Aleksandra Mierniczek , Kinga Kaczmarska , Kinga Rosołowska , Jarosław Dudek . WEARABLE HEALTH TECHNOLOGIES IN CHRONIC DISEASE MANAGEMENT: CURRENT APPLICATIONS, BARRIERS, AND FUTURE PERSPECTIVES. International Journal of Innovative Technologies in Social Science 2025;(4(48)) View
  7. Zhou Y, Zhu X, Qu K, Xu F. AI-enabled wearable microfluidics for next-generation infection monitoring and therapeutics. Lab on a Chip 2026 View
  8. Alam S, Alam M. Explainable Multitask Burnout Prediction Using Adaptive Deep Learning (EMBRACE) for Resident Physicians: Algorithm Development and Validation Study. JMIR AI 2026;5:e57025 View

Books/Policy Documents

  1. Khidzir A, Ismail W, Bahari M, Aldailamy A. Multi-disciplinary Trends in Artificial Intelligence. View

Conference Proceedings

  1. Borg M, Mizzi S, Farrugia R, Mifsud T, Mizzi A, Bajada J, Falzon O. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). An Investigation of Foot Temperature Deviations in Individuals with Diabetes: Insights from Wearable In-Shoe Technology * View
  2. Atitallah N, Dalou F, Al-Rami Al-Ghamdi B. 2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM). Advanced Self-Supervised Learning for Enhanced Heart Disease Prediction View