OBSTRUCTIVE SLEEP APNEA SYNDROME DIAGNOSIS METHOD USING MACHINE LEARNING

OBSTRUCTIVE SLEEP APNEA SYNDROME DIAGNOSIS METHOD USING MACHINE LEARNING

Provided is an obstructive sleep apnea syndrome diagnosis method using machine learning. An embodiment of the present invention is directed to providing an obstructive sleep apnea syndrome diagnosis method using machine learning, which diagnoses obstructive sleep apnea syndrome by extracting paramet...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: JUNG, Hwi Dong, CHOI, Yoon Jeong, RYU, Susie, LEE, Joon Sang, CHO, Hyung Ju
Format: Patent
Sprache:eng
Schlagworte:
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
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Beschreibung
Zusammenfassung:Provided is an obstructive sleep apnea syndrome diagnosis method using machine learning. An embodiment of the present invention is directed to providing an obstructive sleep apnea syndrome diagnosis method using machine learning, which diagnoses obstructive sleep apnea syndrome by extracting parameters related to obstructive sleep apnea syndrome from a geometrical shape of an airway and performing machine learning using data calculated through simulation. Another embodiment of the present invention is directed to providing an obstructive sleep apnea syndrome diagnosis method using machine learning, which improves accuracy of diagnosis of obstructive sleep apnea syndrome and proposes a quantitative standard by diagnosing the obstructive sleep apnea syndrome from the geometrical shape of the airway as described above.