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

Formative Evaluation of Digital Health Interventions (2410) Artificial Intelligence (1371) Machine Learning (1465) Wearable Devices and Sensors (888) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) mHealth for Data Collection and Research (955)

Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35396, first published .
Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study

Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study

Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study

Authors of this article:

Daisuke Hiraoka1 Author Orcid Image ;   Tomohiko Inui1 Author Orcid Image ;   Eiryo Kawakami2, 3 Author Orcid Image ;   Megumi Oya2, 3 Author Orcid Image ;   Ayumu Tsuji2 Author Orcid Image ;   Koya Honma2 Author Orcid Image ;   Yohei Kawasaki4 Author Orcid Image ;   Yoshihito Ozawa4 Author Orcid Image ;   Yuki Shiko4 Author Orcid Image ;   Hideki Ueda1 Author Orcid Image ;   Hiroki Kohno1 Author Orcid Image ;   Kaoru Matsuura1 Author Orcid Image ;   Michiko Watanabe1 Author Orcid Image ;   Yasunori Yakita1 Author Orcid Image ;   Goro Matsumiya1 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.