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.
METHOD FOR DIAGNOSING SLEEP APNEA SYNDROME BY USING MACHINE LEARNING