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

mHealth for Screening (221) Machine Learning (1501) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) mHealth for Rehabilitation (269) mHealth for Data Collection and Research (981)

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 Koyama1 Author Orcid Image ;   Shusuke Sato2 Author Orcid Image ;   Madoka Toriumi2 Author Orcid Image ;   Takuro Watanabe2 Author Orcid Image ;   Akimoto Nimura3 Author Orcid Image ;   Atsushi Okawa1 Author Orcid Image ;   Yuta Sugiura2 Author Orcid Image ;   Koji Fujita3 Author Orcid Image
Article Authors Cited by (13) Tweetations (53) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually