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Variables Affecting the Mothers Access to Quality Care during Childbirth using the Neural Networks and Logistic Regression Models |
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PP: 1045-1060 |
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doi:10.18576/jsap/120314
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Author(s) |
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H. E. Semary,
I. M. Abd El-Fatah,
S. E. El-Desouky,
M. M. El-madawye,
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Abstract |
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| Quality pregnancy and birth care is crucial in reducing maternal and child mortality in Egypt, requiring both supply and demand interventions. Using data from the Egypt Demographic Health Survey 2014, a neural networks and logistic regression models were built to determine demographic, social, and economic determinants affecting mothers access to care during childbirth. The study found that mothers working status had a significant impact on access to care, with an inverse relationship. Logistic regression outperformed neural networks in analyzing the relationship between explanatory variables and mothers access to care during childbirth.
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