Using Artificial Neural Networks for Predicting New Assault Cases in Gokwe North in Zimbabwe
Abstract
Assault against adolescents, men and women has become a public health
threat as it is resulting in various infectious diseases being spread, unwanted
pregnancies and abortions. This paper aims to predict the cases of assault at
Gokwe North District Hospital using the ANN (12, 12, 1) model. Residual
analysis of this model indicated that it was very stable and thus suitable for
predicting assault cases at GNH over the out-of-sample period. In order to
reduce these assault cases in future, the police and hospitals should basically
make sure there are conducive platforms for the assessment and reporting of
assault cases and victims and proper follow ups are done to get the
perpetrators behind bars.
Country : Zimbabwe
1 Mr. Takudzwa. C. Maradze2 Dr. Smartson. P. NYONI3 Mr. Thabani NYONI
Independent Researcher, Harare, Zimbabwe
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
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