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

Pilot studies (ehealth) (261) Machine Learning (1758) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1589) Wearable Devices and Sensors (1009) mHealth for Data Collection and Research (1087)

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 (7) Tweetations (4) Metrics
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JMIR Formative Res: Predicting Pain in People With Sickle Cell Disease in the Day Hospital Using the Commercial Wea… https://t.co/XtLV3NoUSh

1:28 PM · Mar 14, 2023

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JMIR Formative Research JMIR Formative Research @JMIR_Formative

RT @jmirpub: JMIR Formative Res: Predicting Pain in People With Sickle Cell Disease in the Day Hospital Using the Commercial Wearable Apple…

1:29 PM · Mar 14, 2023

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Leonardo Pegollo Leonardo Pegollo @LeonardoPegollo

What a read. https://t.co/zpcYpdtPhA

8:15 PM · Mar 17, 2023

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GailK GailK @GailK526819

Predicting pain in people with sickle cell disease in the day hospital using the commercial wearable Apple Watch: A… https://t.co/KAq26uLIuS

7:30 AM · Mar 22, 2023

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