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

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

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 a...

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Bibliographic Details
Main Authors: Daniela Ferreira-Santos, Pedro Amorim, Tiago Silva Martins, Matilde Monteiro-Soares, Pedro Pereira Rodrigues
Format: Article
Language:English
Published: JMIR Publications 2022-09-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2022/9/e39452

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https://www.jmir.org/2022/9/e39452

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