Grey system analysis in the field of medicine and health
Grey Systems: Theory and Application
ISSN: 2043-9377
Article publication date: 29 March 2019
Issue publication date: 15 May 2019
Abstract
Purpose
The purpose of this paper is to predict hospital respiratory system infection rate by using the gray GM(1,1) model, and to provide theoretical basis for the prospective study on hospital respiratory system infection management.
Design/methodology/approach
The annual respiratory system infection rate of a comprehensive third-class hospital in Yan’an is collected from 2011 to 2017. The GM(1,1) model is used for prediction, and mean absolute percentage error is used to evaluate the prediction accuracy of the model.
Findings
GM(1,1) statistical prediction model is established with good fitting degree and high reliability of extrapolation prediction.
Originality/value
The GM(1,1) model can well predict the respiratory system infection rate of the hospital.
Keywords
Acknowledgements
These authors contributed equally to this study and share first authorship: Zhang Lixia and Tang Hong.
Citation
Lixia, Z., Hong, T. and Miao, H. (2019), "Grey system analysis in the field of medicine and health", Grey Systems: Theory and Application, Vol. 9 No. 2, pp. 251-258. https://doi.org/10.1108/GS-11-2018-0054
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited