A CPAP data–based algorithm for automatic early prediction of therapy adherence
A CPAP data–based algorithm for automatic early prediction of therapy adherence
About this item
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Publisher
Cham: Springer International Publishing
Journal title
Language
English
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Publication information
Publisher
Cham: Springer International Publishing
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Scope and Contents
Contents
Objective
Adherence is a critical issue in the treatment of obstructive sleep apnea with continuous positive airway pressure (CPAP). Approximately 40% of patients treated with CPAP are at risk of discontinuation or insufficient use (< 4 h/night). Assuming that the first few days on CPAP are critical for continued treatment, we tested the predict...
Alternative Titles
Full title
A CPAP data–based algorithm for automatic early prediction of therapy adherence
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Record Identifier
TN_cdi_proquest_miscellaneous_2446662984
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2446662984
Other Identifiers
ISSN
1520-9512
E-ISSN
1522-1709
DOI
10.1007/s11325-020-02186-y
