NDLI: The relationship between left ventricle myocardial performance index of healthy women and geographical factors

Content Provider	Springer Nature Link
Author	Han, Xiao Ge, Miao Dong, Jie Wang, Zixuan He, Jinwei Yang, Rongrong
Copyright Year	2015
Abstract	The study focused on the relationship between geographical factors and left ventricular myocardial performance index (MPI)reference value, analyed the different distribution of MPI, and then provided a scientific basis for clinical examination. This study collected MPI reference values of 2545 healthy women from 91 cities in China, used the Moran's index to determin the spatial relationship, selected 25 geographical factors, examined the significance between MPI and geographical factors by correlation analysis, through the significance test, and extracted seven significant factors to build the artificial neural network (ANN) model and principal component analysis (PCA) model. Through calculating the relative error, the ANN model was chosen as the better model to predict the values. By normality test for the predicted values, the geographical distribution was made by disjunctive kriging interpolation. The predicted values decrease from north to south. If geographical factors are obtained in one location, the MPI of healthy women in this area can be predicted by the ANN model. Synthesizing the influence of physiological and geographical could be more scientific to formulate the MPI reference value.
Starting Page	1557
Ending Page	1565
Page Count	9
File Format	PDF
ISSN	00207128
Journal	International Journal of Biometeorology
Volume Number	59
Issue Number	11
e-ISSN	14321254
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-02-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Left ventricle myocardial performance index Artificial neural network Principal component analysis Disjunctive kriging Cardiac function Environment Biophysics and Biological Physics Meteorology Animal Physiology Plant Physiology Environmental Health
Content Type	Text
Resource Type	Article
Subject	Ecology Health, Toxicology and Mutagenesis Atmospheric Science

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