Comparison of machine learning approaches for positive airway pressure adherence prediction in a veteran cohort
BackgroundAdherence to positive airway pressure (PAP) therapy for sleep apnea is suboptimal, particularly in the veteran population. Accurately identifying those best suited for other therapy or additional interventions may improve adherence. We evaluated various machine learning algorithms to predi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Sleep |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frsle.2024.1278086/full |