Using Artificial Neural Networks for Predicting New Pregnancy Induced Hypertension Cases at Silobela District Hospital (SDH) in Zimbabwe
Abstract
In this research paper, the ANN approach was applied to analyze
Pregnancy Induced Hypertension (PIH) cases at Silobela District Hospital (SDH).
The employed data covers the period January 2010 to December 2019 and the
out-of-sample period ranges over the period January 2020 to December 2021. The
residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied
model basically indicate that the model is stable in forecasting PIH cases at
SDH. The results of the study indicate that PIH cases are likely to be either 1
or 2 and sometimes zero per month over the period January 2020 – December 2020.
A 3-fold policy recommendation has been put forward in order to handle the
projected PIH trends in the SDH catchment area.
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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