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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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| Publicado no: | Diagnostics (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | 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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