Prediction of the severity of obstructive sleep apnea by anthropometric features via support vector machine - Liu, Wen-Te; Wu, Hau-tieng; Juang, Jer-Nan; Wisniewski, Adam; Lee, Hsin-Chien; Wu, Dean; Lo, Yu-Lun (PloS one, 2017)
Keywords: Adipose tissue; Adult; Age; Anthropometry; Apnea; Biology and Life Sciences; Body fat; Body mass; Body mass index; Body measurements; Body size; Computer and Information Sciences; Disasters; Engineering; Fatigue; Female; Females; Gas exchange; Gender; Gender differences; Globalization; Health aspects; Health care; Hormone replacement therapy; Hospitals; Humans; Insomnia; Internal medicine; Laboratories; Learning algorithms; Likelihood ratio; Machine learning; Male; Medicine; Medicine and Health Sciences; Menopause; Middle Aged; Minority & ethnic groups; Models, Theoretical; Neck; Patients; Physical Sciences; Prediction models; Predictions; Public health; Questionnaires; Research and Analysis Methods; Resonance; Science; Severity of Illness Index; Sleep; Sleep apnea; Sleep Apnea, Obstructive - physiopathology; Sleep disorders; Socioeconomics; Specifications; Studies; Subgroups; Support Vector Machine; Support vector machines; Teaching models; Ventilation; Womens health; Taiwan