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Application of various machine learning techniques to predict obstructive sleep apnea syndrome severity
As the incidence of obstructive sleep apnea syndrome (OSAS) increases worldwide, the need for a new screening method that can compensate for the shortcomings of the traditional diagnostic method, polysomnography (PSG), is emerging. In this study, data from 4014 patients were used, and both supervise...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115886/ https://www.ncbi.nlm.nih.gov/pubmed/37076549 http://dx.doi.org/10.1038/s41598-023-33170-7 |