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

Wearable Devices and Sensors (825) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) Ubiquitous Health (uHealth) (117) Machine Learning (1400) Decision Support for Health Professionals (1145) Clinical Information and Decision Making (1339) Pulmonology, COPD (126) Environmental Health (69) Artificial Intelligence (1214) Fitness Trackers and Smart Pedometers/Accelerometers (543)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22591, first published .
Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study

Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study

Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study

Authors of this article:

Chia-Tung Wu1 Author Orcid Image ;   Guo-Hung Li2 Author Orcid Image ;   Chun-Ta Huang3 Author Orcid Image ;   Yu-Chieh Cheng2 Author Orcid Image ;   Chi-Hsien Chen4 Author Orcid Image ;   Jung-Yien Chien3 Author Orcid Image ;   Ping-Hung Kuo3 Author Orcid Image ;   Lu-Cheng Kuo3 Author Orcid Image ;   Feipei Lai1 Author Orcid Image
Article Authors Cited by (50) Tweetations (6) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.