Volume 3, Issue 4, August 2015, Page: 201-205
Application of Neural Network Model in an Epidemiological Study
Renhao Jin, School of Information, Beijing Wuzi University, Beijing, China
Fang Yan, School of Information, Beijing Wuzi University, Beijing, China
Jie Zhu, School of Information, Beijing Wuzi University, Beijing, China
Received: Jul. 19, 2015;       Accepted: Jul. 24, 2015;       Published: Aug. 1, 2015
DOI: 10.11648/j.ajam.20150304.16      View  3652      Downloads  104
This paper use the neural network model to an epidemiological study, i.e. bovine tuberculosis (bTB) occurrence in cattle herds, together with well-established risk factors in the area known as West Wicklow, in the east of Ireland. The binary target variable is whether the herd is in the restricted status, which is defined by whether any bTB reactor is detected in the herd. To estimate the parameters and prevent over-fitting in neural network model fitting, the observations are divided into three part of Training data set, Validation data set, and Test data set. By analysis on the lift charts on test data set, the fitted neural network model can be used to enhance practice efficiency.
Neural Network Model, Bovine Tuberculosis, Spearman’s Rank Correlation, Lift Chart
To cite this article
Renhao Jin, Fang Yan, Jie Zhu, Application of Neural Network Model in an Epidemiological Study, American Journal of Applied Mathematics. Vol. 3, No. 4, 2015, pp. 201-205. doi: 10.11648/j.ajam.20150304.16
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