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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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Príomhchruthaitheoirí: Matheus Lima Diniz Araujo, Trevor Winger, Samer Ghosn, Carl Saab, Jaideep Srivastava, Louis Kazaglis, Piyush Mathur, Reena Mehra
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: Elsevier 2025-01-01
Sraith:Computational and Structural Biotechnology Journal
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Rochtain ar líne:http://www.sciencedirect.com/science/article/pii/S2001037025001527
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