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Dataset Information

Comparative analysis of predictive methods for early assessment of compliance with continuous positive airway pressure therapy.


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