Research MMH-E07

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

Evaluation MMH-E07 published in Published on JMIR 21 21 March 2022

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Francis P Chmiel ¹MSc, DPhil; Dan K Burns ¹ MSc, PhD; John Brian Pickering ¹ DPhil; Alison Blythin ² MRES; Thomas MA Wilkinson ^2,3,4* PhD; Michael J Boniface ^1* BEng

1. School of Electronics and Computer Science, University of Southampton , Southampton , GB
2. my mHealth Limited, Bournemouth , GB
3. National Institute for Health Research Applied Research Collaboration Wessex, University of Southampton , Southampton , GB
4. Faculty of Medicine, University of Southampton, Southampton , GB
* These authors contributed equally

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Results from the my mhealth and University of Southampton collaborative grant project through Big Medilytics have been published in JMIR Medication Informatics.

©Francis P Chmiel, Dan K Burns, John Brian Pickering, Alison Blythin, Thomas MA Wilkinson, Michael J Boniface. Originally published in JMIR Medical Informatics, https://medinform.jmir.org/2022/3/e26499, 21.03.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.

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