AI detects snoring sources for improved treatment

Researchers proposed an integrated framework based on artificial intelligence to classify sources of snoring, aiming to improve the diagnosis of sleep disorders and develop more accurate treatments. The model achieved an accuracy of 67.1% in identifying the source of snoring, outperforming both traditional and advanced methods. This enhances its potential for more precise identification and treatment of different types of snoring.

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