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

• Principais autores: Daniela Ferreira-Santos (Autor), Pedro Amorim (Autor), Tiago Silva Martins (Autor), Matilde Monteiro-Soares (Autor), Pedro Pereira Rodrigues (Autor)
• Formato: Livro
• Publicado em: JMIR Publications, 2022-09-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

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...