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Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques

This study aimed to investigate the applicability of machine learning to predict obstructive sleep apnea (OSA) among individuals with suspected OSA in South Korea. A total of 92 clinical variables for OSA were collected from 279 South Koreans (OSA, n = 213; no OSA, n = 66), from which seven major cl...

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Dades bibliogràfiques
Publicat a:Diagnostics (Basel)
Autors principals: Kim, Young Jae, Jeon, Ji Soo, Cho, Seo-Eun, Kim, Kwang Gi, Kang, Seung-Gul
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2021
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8066462/
https://ncbi.nlm.nih.gov/pubmed/33808100
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11040612
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