Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review
Background: Obstructive sleep apnea (OSA) is a prevalent and potentially severe sleep disorder characterized by repeated interruptions in breathing during sleep. Machine learning models have been increasingly applied in various aspects of OSA research, including diagnosis, treatment optimization, an...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-01-01
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| Colecção: | Computational and Structural Biotechnology Journal |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2001037025001527 |
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