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

BACKGROUND: Self-reporting digital apps provide a way of remotely monitoring and managing patients with chronic conditions in the community. Leveraging the data collected by these apps in prognostic models could provide increased personalization of care and reduce the burden of care for people who l...

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Detalles Bibliográficos
Autores principales: Chmiel, Francis P, Burns, Dan K, Pickering, John Brian, Blythin, Alison, Wilkinson, Thomas MA, Boniface, Michael J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981014/
https://www.ncbi.nlm.nih.gov/pubmed/35311685
http://dx.doi.org/10.2196/26499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981014/
https://www.ncbi.nlm.nih.gov/pubmed/35311685
http://dx.doi.org/10.2196/26499

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