Pairwise ANFIS Approach to Determining the Disorder Degree of Obstructive Sleep Apnea Syndrome

• Published in: Journal of medical systems Vol. 32; no. 5; pp. 379 - 387
• Main Authors: Polat, Kemal, Yosunkaya, Şebnem, Güneş, Salih
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.10.2008; Springer Nature B.V
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Algorithms; Biomedical engineering; Female; Fuzzy Logic; Health Informatics; Health Sciences; Humans; Male; Medicine; Medicine & Public Health; Middle Aged; Original Paper; Polysomnography; Sleep apnea; Sleep Apnea, Obstructive - classification; Sleep Apnea, Obstructive - diagnosis; Sleep Apnea, Obstructive - physiopathology; Statistics for Life Sciences; Young Adult; Adaptive Neuro-Fuzzy Inference System (ANFIS); Polysomnography; Obstructive sleep apnea syndrome (OSAS); Pairwise ANFIS

Obstructive sleep apnea syndrome (OSAS) is an important disease that affects both the right and the left cardiac ventricle. This paper presents a novel classification method called pairwise ANFIS based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and one against all method for detecting the obst...