Fuzzy Neural Network Model Based on Uni-Nullneuron in Extracting Knowledge About Risk Factors of Maternal Health

The potential of diagnostic methodologies to improve pregnant women’s well-being is critical in preventing complications for mothers and their unborn children. This paper introduces an interpretable fuzzy neural network model that uses artificial intelligence (AI) techniques for early risk detection in pregnancy. The model, which integrates a fuzzy inference system and a defuzzification process across three layers, provides deep insights by formulating fuzzy rules from the data. Comparative analysis with existing models shows that our approach achieves high accuracy in maternal risk identification and offers enhanced interpretability and detailed data analysis.