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ABSTRACT: Background
Patients suffering obstructive sleep apnea are mainly treated with continuous positive airway pressure (CPAP). Although it is a highly effective treatment, compliance with this therapy is problematic to achieve with serious consequences for the patients' health. Unfortunately, there is a clear lack of clinical analytical tools to support the early prediction of compliant patients.Methods
This work intends to take a further step in this direction by building compliance classifiers with CPAP therapy at three different moments of the patient follow-up, before the therapy starts (baseline) and at months 1 and 3 after the baseline.Results
Results of the clinical trial shows that month 3 was the time-point with the most accurate classifier reaching an f1-score
SUBMITTER: Rafael-Palou X
PROVIDER: S-EPMC6145365 | biostudies-literature | 2018 Sep
REPOSITORIES: biostudies-literature