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

Pilot studies (ehealth) (178) Machine Learning (1400) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) Wearable Devices and Sensors (825) mHealth for Data Collection and Research (917)

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 (3) 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