Towards Validating the Effectiveness of Obstructive Sleep Apnea Classification from Electronic Health Records Using Machine Learning

Towards Validating the Effectiveness of Obstructive Sleep Apnea Classification from Electronic Health Records Using Machine Learning

Obstructive sleep apnea (OSA) is a common, chronic, sleep-related breathing disorder characterized by partial or complete airway obstruction in sleep. The gold standard diagnosis method is polysomnography, which estimates disease severity through the Apnea-Hypopnea Index (AHI). However, this is expe...

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Autores principales: Jayroop Ramesh, Niha Keeran, Assim Sagahyroon, Fadi Aloul
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
electronic health records
machine learning
obstructive
polysomnography
prediction
sleep apnea
Medicine
R
Acceso en línea:https://doaj.org/article/91bfed61427b4171beba97200c8ed0e0
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