Retrospective Analysis Of Clinical Data Towards Sepsis Prediction

Abstract

The world which we live consist of enormous amount of data and has been completely digitalized. These data can be used for prediction and classification, which finds its application many fields such as business analytics. There is a huge amount data available in healthcare too. These data can be used to acquire information regarding the onset time of disease, causative factor, etc. In this paper, we have considered a disease condition called sepsis. The medical data is used to build models that could be able to predict the disease. The process flow includes visualization, cleansing, and further processing before construction of the classifier.