title: Prediagnosis of obstructive sleep apnea via multiclass MTS.
abstract: Obstructive sleep apnea (OSA) has become an important public health concern. Polysomnography (PSG) is traditionally considered an established and effective diagnostic tool providing information on the severity of OSA and the degree of sleep fragmentation. However, the numerous steps in the PSG test to diagnose OSA are costly and time consuming. This study aimed to apply the multiclass Mahalanobis-Taguchi system (MMTS) based on anthropometric information and questionnaire data to predict OSA. Implementation results showed that MMTS had an accuracy of 84.38% on the OSA prediction and achieved better performance compared to other approaches such as logistic regression, neural networks, support vector machine, C4.5 decision tree, and rough set. Therefore, MMTS can assist doctors in prediagnosis of OSA before running the PSG test, thereby enabling the more effective use of medical resources.
authors.affiliation: Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013, Taiwan. ctsu@mx.nthu.edu.tw
authors.forename: Chao-Ton
authors.initials: CT
authors.lastname: Su
authors.forename: Kun-Huang
authors.initials: KH
authors.lastname: Chen
authors.forename: Li-Fei
authors.initials: LF
authors.lastname: Chen
authors.forename: Pa-Chun
authors.initials: PC
authors.lastname: Wang
authors.forename: Yu-Hsiang
authors.initials: YH
authors.lastname: Hsiao
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017286:Polysomnography / Q000379:methods; D012680:Sensitivity and Specificity; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis*; D011795:Surveys and Questionnaires; D055815:Young Adult