Prediction of Women Survival Rate during Pregnancy Using Classification and Clustering

A statistical survey shows that In India a mother dies in every eight minutes in India at the same amount of time 20 women suffer from lifelong health impairments that result from complications during their pregnancies. The majority of these deaths are among women in the 15-29 age group, at the prime of their reproductive lives. The most tragic aspect of these deaths is that about 90 percent of them are avoidable in nature, in case of women are able to receive the right kind of intervention. This paper deals with the health record of pregnant women obtained from a primary health canter, Vellore. This is a district in Tamilnadu and India. This paper analyses various compound reasons regarding the mother mortality rate and the Impact on these factors that affect the survival rate of the women. This paper performs Decision table based classification and Filtered Clustering to prove the correctness of the results obtained from the survey regarding which of the fourteen factors involved in the analysis has the highest impact on the survival status of the women during the period of pregnancy. This paper classifies these fourteen parameters and the impact of the every single parameter on the survival status of the women and how much percentage is the survival rate obtained from this survey and out of which is the primary key attribute that has the highest impact on the survival rate is predicted by the rigorous classification and the clustering algorithms.