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

Rebecca Sofia Stojancic Arvind Subramaniam Caroline Vuong Kumar Utkarsh Nuran Golbasi Olivia Fernandez Nirmish R Shah

Published in: JMIR formative research (2023)

The strong performance of the model in all metrics validates feasibility and the ability to use data collected from a noninvasive device, the Apple Watch, to predict the pain scores during VOCs. It is a novel and feasible approach and presents a low-cost method that could benefit clinicians and individuals with sickle cell disease in the treatment of VOCs.

Keyphrases

low cost
chronic pain
pain management
neuropathic pain
healthcare
emergency department
acute care
machine learning
deep learning
artificial intelligence