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1. WO2021145721 - METHOD FOR DIAGNOSING SLEEP APNEA SYNDROME BY USING MACHINE LEARNING

Publication Number WO/2021/145721
Publication Date 22.07.2021
International Application No. PCT/KR2021/000592
International Filing Date 15.01.2021
IPC
G16H 50/50 2018.1
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
50for simulation or modelling of medical disorders
Applicants
  • 연세대학교 산학협력단 INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY [KR]/[KR]
Inventors
  • 이준상 LEE, Joon Sang
  • 조형주 CHO, Hyung Ju
  • 최윤정 CHOI, Yoon Jeong
  • 정휘동 JUNG, Hwi Dong
  • 류수지 RYU, Susie
Agents
  • 특허법인 플러스 PLUS INTERNATIONAL IP LAW FIRM
Priority Data
10-2020-000670017.01.2020KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) METHOD FOR DIAGNOSING SLEEP APNEA SYNDROME BY USING MACHINE LEARNING
(FR) PROCÉDÉ POUR DIAGNOSTIQUER UN SYNDROME D'APNÉE DU SOMMEIL PAR APPRENTISSAGE AUTOMATIQUE
(KO) 기계학습을 이용한 수면무호흡증 진단방법
Abstract
(EN)
The present invention relates to a method for diagnosing a sleep apnea syndrome by using machine learning. The purpose of the present invention is to provide a method for diagnosing a sleep apnea syndrome by using machine learning, the method diagnosing whether or not there is a sleep apnea syndrome by extracting, from the geometric shape of an airway, parameters associated with the sleep apnea syndrome and performing machine learning by using data calculated via simulation. The other purpose of the present invention is to provide a method for diagnosing a sleep apnea syndrome by using machine learning, the method improving the accuracy of the diagnosis of a sleep apnea syndrome and presenting a quantitative standard by diagnosing, from the geometric shape of an airway, whether or not there is the sleep apnea syndrome, as described above.
(FR)
La présente invention concerne un procédé pour diagnostiquer un syndrome d'apnée du sommeil par l'utilisation d'un apprentissage automatique. Le but de la présente invention est de fournir un procédé pour diagnostiquer un syndrome d'apnée du sommeil par l'utilisation d'un apprentissage automatique, le procédé permettant de diagnostiquer s'il existe ou non un syndrome d'apnée du sommeil par l'extraction, à partir de la forme géométrique d'une voie aérienne, des paramètres associés au syndrome d'apnée du sommeil et la réalisation d'un apprentissage automatique en utilisant des données calculées par simulation. L'autre objectif de la présente invention est de fournir un procédé pour diagnostiquer un syndrome d'apnée du sommeil par l'utilisation d'un apprentissage automatique, le procédé améliorant la précision du diagnostic d'un syndrome d'apnée du sommeil et présentant une norme quantitative en diagnostiquant, à partir de la forme géométrique d'une voie aérienne, la présence ou non d'un syndrome d'apnée du sommeil, comme décrit ci-dessus.
(KO)
본 발명은 기계학습을 이용한 수면무호흡증 진단방법에 관한 것이다. 본 발명의 목적은, 기도의 기하학적 형상으로부터 수면무호흡증과 관련된 매개변수들을 추출하고 시뮬레이션을 통해 산출한 데이터를 사용하여 기계학습을 수행함으로써 수면무호흡증 여부를 진단하는, 기계학습을 이용한 수면무호흡증 진단방법을 제공함에 있다. 본 발명의 다른 목적은, 상술한 바와 같이 기도의 기하학적 형상으로부터 수면무호흡증 여부를 진단함으로써, 수면무호흡증 진단의 정확성을 향상하고 정량적 표준을 제시하는, 기계학습을 이용한 수면무호흡증 진단방법을 제공함에 있다.
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