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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Korean Academy of Medical Sciences
2023
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| 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 |