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...

Descripción completa

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

Internet

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

Ejemplares similares