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

Pilot studies (ehealth) (255) Machine Learning (1738) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1572) Wearable Devices and Sensors (996) mHealth for Data Collection and Research (1082)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45355, first published .
Predicting Pain in People With Sickle Cell Disease in the Day Hospital Using the Commercial Wearable Apple Watch: Feasibility Study

Predicting Pain in People With Sickle Cell Disease in the Day Hospital Using the Commercial Wearable Apple Watch: Feasibility Study

Predicting Pain in People With Sickle Cell Disease in the Day Hospital Using the Commercial Wearable Apple Watch: Feasibility Study

Authors of this article:

Rebecca Sofia Stojancic1 Author Orcid Image ;   Arvind Subramaniam1, 2 Author Orcid Image ;   Caroline Vuong3 Author Orcid Image ;   Kumar Utkarsh4 Author Orcid Image ;   Nuran Golbasi5, 6 Author Orcid Image ;   Olivia Fernandez1 Author Orcid Image ;   Nirmish Shah1 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

Journals

  1. Vuong C, Utkarsh K, Stojancic R, Subramaniam A, Fernandez O, Banerjee T, Abrams D, Fijnvandraat K, Shah N. Use of consumer wearables to monitor and predict pain in patients with sickle cell disease. Frontiers in Digital Health 2023;5 View
  2. Hui R, Fan P, Aloweni F, Ang S. Wearable Devices for Vital Sign Monitoring in Hematology and Oncology Patients: An Integrative Review of Implementation Barriers and Detection Performance. American Medical Journal Oncology 2024:60 View
  3. Köhler C, Bartschke A, Fürstenau D, Schaaf T, Salgado-Baez E. The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research. Journal of Medical Internet Research 2024;26:e58936 View
  4. Antel R, Whitelaw S, Gore G, Ingelmo P. Moving towards the use of artificial intelligence in pain management. European Journal of Pain 2025;29(3) View

Books/Policy Documents

  1. Islam R, Tanweer S, Nafis M, Hussain I, Ahmad O. Proceedings of 4th International Conference on ICT for Digital, Smart, and Sustainable Development. View

Conference Proceedings

  1. Uvaliyeva I, Belginova S, Borozenets D. 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). Analysis of the Machine Learning Methods Effectiveness for Morphological Classification of Anemia View