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

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Title: Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data.
Authors: Orchard, Peter1, Agakova, Anna1, Pinnock, Hilary2, Burton, Christopher David3, Sarran, Christophe4, Agakov, Felix1, McKinstry, Brian2, brian.mckinstry@ed.ac.uk
Source: Journal of Medical Internet Research; Sep2018, Vol. 20 Issue 9, p73-73, 1p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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      – Type: doi
        Value: 10.2196/jmir.9227
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      – Code: eng
        Text: English
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        StartPage: 73
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      – TitleFull: Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data.
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            NameFull: Burton, Christopher David
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            NameFull: Sarran, Christophe
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            NameFull: Agakov, Felix
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            – D: 01
              M: 09
              Text: Sep2018
              Type: published
              Y: 2018
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