Mode of Delivery Prognosis through Data Mining

Abstract

The prognosis of mode of delivery is considered to be one of the most important steps in identifying the procedure and possible complications that might occur during the delivery process. Current practices for predicting mode of delivery relies totally on the opinion of the physician in charge. Data mining is a promising yet effective modern set of techniques that extract hidden information in order to allow for better decisions. In this paper we propose a framework for the prognosis of delivery mode that utilizes the power of data mining techniques. We use the Weka software to determine which classification algorithm provides the highest accuracy and to build a model that is able to assist in accurately predicting possible delivery process complication in order to prepare for, and to reduce the risk on the lives of both the mother and the baby.