A proposed method for prediction of membranous nephropathy disease

Abstract

Kidney disease is the most prevailing problem in today's world. Gathering knowledge through data analyzing is called data mining which can be widely used in healthcare industry. Medical data mining plays an important role in prediction of the disease. Nephrotic disease is the most challenging disease in day to day life. Membranous nephropathy disease is caused by the immune system of the body. An antibody called PlA2R is found in the kidney. When this antibody reacts with the antigen it causes the disease MN. Patients can lose 10-20gm of protein per day and experience severe disability. Membranous nephropathy is of two types, primary MN and secondary MN. Prediction of PLA2R antibodies plays an important role in Membranous Nephropathy. In this paper it is proposed to analyze the PLA2R antibodies in the patient over a period of time. Based upon the analysis of primary MN prediction can be done. Hypothesis is established in monitoring the PLA2R antibody and it will help in diagnosis and subsequent treatment of the disease Membranous Nephropathy (MN).