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Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data

BACKGROUND: Telemonitoring of symptoms and physiological signs has been suggested as a means of early detection of chronic obstructive pulmonary disease (COPD) exacerbations, with a view to instituting timely treatment. However, algorithms to identify exacerbations result in frequent false-positive...

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Detalles Bibliográficos
Autores principales:	Orchard, Peter, Agakova, Anna, Pinnock, Hilary, Burton, Christopher David, Sarran, Christophe, Agakov, Felix, McKinstry, Brian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2018
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231768/ https://www.ncbi.nlm.nih.gov/pubmed/30249589 http://dx.doi.org/10.2196/jmir.9227

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