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

mHealth for Screening (92) Machine Learning (455) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (614) mHealth for Rehabilitation (112) mHealth for Data Collection and Research (392)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26320, first published .
A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study

A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study

A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study

Authors of this article:

Takafumi Koyama 1 Author Orcid Image ;   Shusuke Sato 2 Author Orcid Image ;   Madoka Toriumi 2 Author Orcid Image ;   Takuro Watanabe 2 Author Orcid Image ;   Akimoto Nimura 3 Author Orcid Image ;   Atsushi Okawa 1 Author Orcid Image ;   Yuta Sugiura 2 Author Orcid Image ;   Koji Fujita 3 Author Orcid Image
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