Fuzzy Predictive Model for Estimating the Risk Level of Maternal Mortality while Childbirth

摘要

The paper proposes a predictive model to estimate the risk level of maternal mortality while giving birth using fuzzy logic. The model is developed based on the fuzziness of following variables: place, total children, antenatal visits, blood pressure checked, tetanus injection taken, iron tablets/syrup taken, habit of watching television. The Mamdani fuzzy inference method is used and the output generated by the model is the risk level in percentage. 23 rules are generated based on the inputs and a real data set is used to validate the model. Moreover, an ANFIS model is generated. Confusion matrices are used to evaluate the accuracy, sensitivity and specificity of both models. Fuzzy predictive model has an edge over the ANFIS model in terms of accuracy, sensitivity and specificity. Fuzzy predictive model has an accuracy of 88.95 percent which is reliable and can be deployed in remote areas to help in dealing the problem of maternal mortality.