Self-helped detection of obstructive sleep apnea based on automated facial recognition and machine learning
Author:
Funder
the National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Subject
Neurology (clinical),Otorhinolaryngology
Link
https://link.springer.com/content/pdf/10.1007/s11325-023-02846-9.pdf
Reference30 articles.
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4. Lee RWW (2010) Differences in craniofacial structures and obesity in Caucasian and Chinese patients with obstructive sleep apnea. Sleep 33(8):1075–1080
5. Sutherland K, Lee RWW, Chan TO, Ng S, Hui DS, Cistulli PA (2018) Craniofacial phenotyping in Chinese and Caucasian patients with sleep apnea: influence of ethnicity and sex. J Clin Sleep Med 14:1143–1151
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