Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review

• Главные авторы: Daniela Ferreira-Santos (Автор), Pedro Amorim (Автор), Tiago Silva Martins (Автор), Matilde Monteiro-Soares (Автор), Pedro Pereira Rodrigues (Автор)
• Формат: ‌
• Опубликовано: JMIR Publications, 2022-09-01T00:00:00Z.
• Предметы: article
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BackgroundAmerican Academy of Sleep Medicine guidelines suggest that clinical prediction algorithms can be used to screen patients with obstructive sleep apnea (OSA) without replacing polysomnography, the gold standard. ObjectiveWe aimed to identify, gather, and analyze existing machine learning app...