Comparative Study for the Early Detection of the most Important Factors Leading to Preeclampsia

Authors

  • Aseel Mubdir Dawood Al-Marsuomy
  • Mustafa Mohammed Subhi Fadhel

DOI:

https://doi.org/10.33095/jeas.v27i127.2150

Keywords:

Factorial Analysis, Radial Bases Function Network, Gaussian Function, Preeclampsia., التحليل العاملي، شبكة دالة القاعدة الشعاعية، دالة كاوس، تسمم الحمل.

Abstract

 

The aim of this research is to determine the most important and main factors that lead to Preeclampsia. It is also about finding suitable solutions to eradicate these factors and avoid them in order to prevent getting Preeclampsia. To achieve this, a case study sample of (40) patients from Medical City - Oncology Teaching Hospital was used to collect data by a questionnaire which contained (17) reasons to be investigated. The statistical package (SPSS) was used to compare the results of the data analysis through two methods (Radial Bases Function Network) and (Factorial Analysis). Important results were obtained, the two methods determined the same factors that could represent the direct reason which causes Preeclampsia. But the first method of analysis was more precise and accurate in identifying these factors. Concerning both methods, the focus was on the factors of (following a good nutritious diet, a dysfunction in the placenta, and suffer from high blood press before pregnancy) had a major effect on their potential susceptibility to Preeclampsia.

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Published

2021-03-30

Issue

Section

Statistical Researches

How to Cite

“Comparative Study for the Early Detection of the most Important Factors Leading to Preeclampsia” (2021) Journal of Economics and Administrative Sciences, 27(127), pp. 265–284. doi:10.33095/jeas.v27i127.2150.

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