Optimal weighted combinatorial forecasting model of QT dispersion of ECGs in Chinese adults.

Clicks: 383
ID: 68754
2016
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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.
Reference Key
wen2016optimalinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wen, Zhang;Miao, Ge;Xinlei, Liu;Minyi, Cen;
Journal international journal of biometeorology
Year 2016
DOI
10.1007/s00484-015-1102-y
URL
Keywords
combination model geographical distribution geographical elements qt dispersion

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