Application of Neural Network Model in an Epidemiological Study

Renhao Jin; Fang Yan; Jie Zhu

doi:doi:10.11648/j.ajam.20150304.16

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Application of Neural Network Model in an Epidemiological Study

Renhao Jin, Fang Yan, Jie Zhu

Published in American Journal of Applied Mathematics (Volume 3, Issue 4)

Received: 19 July 2015 Accepted: 24 July 2015 Published: 1 August 2015

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Abstract

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.

Published in	American Journal of Applied Mathematics (Volume 3, Issue 4)
DOI	10.11648/j.ajam.20150304.16
Page(s)	201-205
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Neural Network Model, Bovine Tuberculosis, Spearman’s Rank Correlation, Lift Chart

References

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[9]	Griffin, J.M., Hahesya, T., Lyncha, T., M.D. Salmanb, M.D., McCarthya, J., Hurleya, T., 1993. The association of cattle husbandry practices, environmental factors and farmer characteristics with the occurence of chronic bovine tuberculosis in dairy herds in the Republic of Ireland. Preventive Veterinary Medicine 17, 145-160.
[10]	Griffin, J.M., Williams, D.H., Kelly, G.E., Clegg, T.A., O’Boyle, I., Collins, J.D., More, S.J., 2005. The impact of badger removal on the control of tuberculosis in cattle herds in Ireland. Preventive Veterinary Medicine 67, 237–266.
[11]	Hahesy, T., Kelleher, D.L., Doherty, J., 1992. An investigation of a possible association between the occurrence of bovine tuberculosis and weather variables. Irish Veterinary Journal 45, 127-128.
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APA Style

Renhao Jin, Fang Yan, Jie Zhu. (2015). Application of Neural Network Model in an Epidemiological Study. American Journal of Applied Mathematics, 3(4), 201-205. https://doi.org/10.11648/j.ajam.20150304.16

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ACS Style

Renhao Jin; Fang Yan; Jie Zhu. Application of Neural Network Model in an Epidemiological Study. Am. J. Appl. Math. 2015, 3(4), 201-205. doi: 10.11648/j.ajam.20150304.16

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AMA Style

Renhao Jin, Fang Yan, Jie Zhu. Application of Neural Network Model in an Epidemiological Study. Am J Appl Math. 2015;3(4):201-205. doi: 10.11648/j.ajam.20150304.16

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@article{10.11648/j.ajam.20150304.16,
  author = {Renhao Jin and Fang Yan and Jie Zhu},
  title = {Application of Neural Network Model in an Epidemiological Study},
  journal = {American Journal of Applied Mathematics},
  volume = {3},
  number = {4},
  pages = {201-205},
  doi = {10.11648/j.ajam.20150304.16},
  url = {https://doi.org/10.11648/j.ajam.20150304.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20150304.16},
  abstract = {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.},
 year = {2015}
}

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TY  - JOUR
T1  - Application of Neural Network Model in an Epidemiological Study
AU  - Renhao Jin
AU  - Fang Yan
AU  - Jie Zhu
Y1  - 2015/08/01
PY  - 2015
N1  - https://doi.org/10.11648/j.ajam.20150304.16
DO  - 10.11648/j.ajam.20150304.16
T2  - American Journal of Applied Mathematics
JF  - American Journal of Applied Mathematics
JO  - American Journal of Applied Mathematics
SP  - 201
EP  - 205
PB  - Science Publishing Group
SN  - 2330-006X
UR  - https://doi.org/10.11648/j.ajam.20150304.16
AB  - 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.
VL  - 3
IS  - 4
ER  -

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Author Information

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

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APA Style

Renhao Jin, Fang Yan, Jie Zhu. (2015). Application of Neural Network Model in an Epidemiological Study. American Journal of Applied Mathematics, 3(4), 201-205. https://doi.org/10.11648/j.ajam.20150304.16

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ACS Style

Renhao Jin; Fang Yan; Jie Zhu. Application of Neural Network Model in an Epidemiological Study. Am. J. Appl. Math. 2015, 3(4), 201-205. doi: 10.11648/j.ajam.20150304.16

Copy | Download

AMA Style

Renhao Jin, Fang Yan, Jie Zhu. Application of Neural Network Model in an Epidemiological Study. Am J Appl Math. 2015;3(4):201-205. doi: 10.11648/j.ajam.20150304.16

Copy | Download

@article{10.11648/j.ajam.20150304.16,
  author = {Renhao Jin and Fang Yan and Jie Zhu},
  title = {Application of Neural Network Model in an Epidemiological Study},
  journal = {American Journal of Applied Mathematics},
  volume = {3},
  number = {4},
  pages = {201-205},
  doi = {10.11648/j.ajam.20150304.16},
  url = {https://doi.org/10.11648/j.ajam.20150304.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20150304.16},
  abstract = {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.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Application of Neural Network Model in an Epidemiological Study
AU  - Renhao Jin
AU  - Fang Yan
AU  - Jie Zhu
Y1  - 2015/08/01
PY  - 2015
N1  - https://doi.org/10.11648/j.ajam.20150304.16
DO  - 10.11648/j.ajam.20150304.16
T2  - American Journal of Applied Mathematics
JF  - American Journal of Applied Mathematics
JO  - American Journal of Applied Mathematics
SP  - 201
EP  - 205
PB  - Science Publishing Group
SN  - 2330-006X
UR  - https://doi.org/10.11648/j.ajam.20150304.16
AB  - 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.
VL  - 3
IS  - 4
ER  -

Copy | Download