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

Machine Learning (1662) Patient-Reported Outcome Measures (PROMs) (317) mHealth for Patient Education (258) Pulmonology, COPD (158)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26499, first published .
Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach

Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach

Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach

Authors of this article:

Francis P Chmiel1 Author Orcid Image ;   Dan K Burns1 Author Orcid Image ;   John Brian Pickering1 Author Orcid Image ;   Alison Blythin2 Author Orcid Image ;   Thomas MA Wilkinson2, 3, 4 Author Orcid Image ;   Michael J Boniface1 Author Orcid Image
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RT @jmirpub: New JMIR MedInform: Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using #patient Self-reported Da…

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