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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Detalles Bibliográficos
Autores principales: Ramesh, Jayroop, Keeran, Niha, Sagahyroon, Assim, Aloul, Fadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622500/
https://www.ncbi.nlm.nih.gov/pubmed/34828496
http://dx.doi.org/10.3390/healthcare9111450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622500/
https://www.ncbi.nlm.nih.gov/pubmed/34828496
http://dx.doi.org/10.3390/healthcare9111450

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