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What is ML and DL in OSA Severity Classification about?

The document reviews advancements in machine learning (ML) and deep learning (DL) for the classification of obstructive sleep apnea (OSA) severity, highlighting the potential for automated diagnostic tools. It discusses various methodologies, including general ML/DL methods, signal-specific approaches, pediatric detection, and the development of interpretable models, while also addressing clinical applicability and future trends. The review emphasizes the importance of dataset quality and regulatory challen

Author

mustafadildar

Language

EN