title: Optimal weighted combinatorial forecasting model of QT dispersion of ECGs in Chinese adults.
abstract: This study aims to provide a scientific basis for unifying the reference value standard of QT dispersion of ECGs in Chinese adults. Three predictive models including regression model, principal component model, and artificial neural network model are combined to establish the optimal weighted combination model. The optimal weighted combination model and single model are verified and compared. Optimal weighted combinatorial model can reduce predicting risk of single model and improve the predicting precision. The reference value of geographical distribution of Chinese adults' QT dispersion was precisely made by using kriging methods. When geographical factors of a particular area are obtained, the reference value of QT dispersion of Chinese adults in this area can be estimated by using optimal weighted combinatorial model and reference value of the QT dispersion of Chinese adults anywhere in China can be obtained by using geographical distribution figure as well.
authors.affiliation: College of Tourism and Environment, Shaanxi Normal University, Xi'an, Shaanxi, 710119, China.
authors.forename: Zhang
authors.initials: Z
authors.lastname: Wen
authors.affiliation: College of Tourism and Environment, Shaanxi Normal University, Xi'an, Shaanxi, 710119, China. gemiao@snnu.edu.cn.
authors.forename: Ge
authors.initials: G
authors.lastname: Miao
authors.affiliation: College of Tourism and Environment, Shaanxi Normal University, Xi'an, Shaanxi, 710119, China.
authors.forename: Liu
authors.initials: L
authors.lastname: Xinlei
authors.affiliation: College of Tourism and Environment, Shaanxi Normal University, Xi'an, Shaanxi, 710119, China.
authors.forename: Cen
authors.initials: C
authors.lastname: Minyi
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002681:China; D004562:Electrocardiography / Q000639:trends*; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D025341:Principal Component Analysis; D012044:Regression Analysis; D014887:Weather; D055815:Young Adult
keywords: Combination model; Geographical distribution; Geographical elements; QT dispersion