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A Classifying Model of Obstructive Sleep Apnea Based on Heart Rate Variability in a Large Korean Population

BACKGROUND: The majority of patients with obstructive sleep apnea do not receive timely diagnosis and treatment because of the complexity of a diagnostic test. We aimed to predict obstructive sleep apnea based on heart rate variability, body mass index, and demographic characteristics in a large Kor...

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Detalles Bibliográficos
Autores principales: Park, Pona, Kim, Jeong-Whun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941018/
https://www.ncbi.nlm.nih.gov/pubmed/36808544
http://dx.doi.org/10.3346/jkms.2023.38.e49