Estimation of Liver Disorder and its Correlation Factors in Modern World using Data Mining Techniques

Abstract

Knowledge recognition is an important task for any research work and which need either qualitative or quantitative dataset to attain the knowledge patterns. Various independent and hybrid applications of Machine learning Algorithms, Statistics and Relational data base management queries are used as part of Data mining in industry for the information retrieval. Liver is a primary reactor for any substances in the body and the biological changes with respect to liver is always closely linked to the lifestyle, stress and psychological factors. The study of physiological and psychological changes in association with liver dysfunction will lighten for future researches. This research aims to find the conjunctions of most influenced symptoms in alcoholic fatty liver disorder by applying support and confidence to the Reverse Sequential Covering Algorithm.