title: A Prognosis Tool Based on Fuzzy Anthropometric and Questionnaire Data for Obstructive Sleep Apnea Severity.
abstract: Obstructive sleep apnea (OSA) are linked to the augmented risk of morbidity and mortality. Although polysomnography is considered a well-established method for diagnosing OSA, it suffers the weakness of time consuming and labor intensive, and requires doctors and attending personnel to conduct an overnight evaluation in sleep laboratories with dedicated systems. This study aims at proposing an efficient diagnosis approach for OSA on the basis of anthropometric and questionnaire data. The proposed approach integrates fuzzy set theory and decision tree to predict OSA patterns. A total of 3343 subjects who were referred for clinical suspicion of OSA (eventually 2869 confirmed with OSA and 474 otherwise) were collected, and then classified by the degree of severity. According to an assessment of experiment results on g-means, our proposed method outperforms other methods such as linear regression, decision tree, back propagation neural network, support vector machine, and learning vector quantization. The proposed method is highly viable and capable of detecting the severity of OSA. It can assist doctors in pre-diagnosis of OSA before running the formal PSG test, thereby enabling the more effective use of medical resources.
authors.affiliation: Department of Industrial Management, National Taiwan University of Science and Technology, No.43, Sec. 4, Keelung Rd., Da'an Dist., Taipei, 106, Taiwan, Republic of China. kjwang@mail.ntust.edu.tw.
authors.forename: Kung-Jeng
authors.initials: KJ
authors.lastname: Wang
authors.affiliation: Department of Industrial Management, National Taiwan University of Science and Technology, No.43, Sec. 4, Keelung Rd., Da'an Dist., Taipei, 106, Taiwan, Republic of China. khchen@mail.ntust.edu.tw.
authors.forename: Kun-Huang
authors.initials: KH
authors.lastname: Chen
authors.affiliation: Department of Sleep Center, Taipei Medical University, Taipei, Taiwan, 110, Republic of China. koelnerhsh@gmail.com.|Department of Psychiatry & Psychiatric Research Center, Taipei Medical University, 110, Taipei, Taiwan, Republic of China. koelnerhsh@gmail.com.
authors.forename: Shou-Hung
authors.initials: SH
authors.lastname: Huang
authors.affiliation: School of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, 110, Taiwan, Republic of China. dianaten@tmu.edu.tw.|Division of Oral Rehabilitation and Center of Pediatric Dentistry, Department of Dentistry, Taipei Medical University Hospital, Taipei, Taiwan, 110, Republic of China. dianaten@tmu.edu.tw.
authors.forename: Nai-Chia
authors.initials: NC
authors.lastname: Teng
mesh_terms: D000367:Age Factors; D000886:Anthropometry; D015992:Body Mass Index; D003663:Decision Trees; D017143:Fuzzy Logic; D006801:Humans; D011379:Prognosis; D012720:Severity of Illness Index; D012737:Sex Factors; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis*; D011795:Surveys and Questionnaires
keywords: Diagnosis model; Fuzzy decision tree; Obstructive sleep apnea