Chronic Kidney Disease Using Fuzzy C-Means Clustering Analysis

Data Mining and Heath Care

Data Mining is an interesting and motivating area of research which has become popular in the medical field. It plays a vital role to uncover latest trends in the medical industry. It aims to find out useful information from massive data sets. In present times, there is a requirement of methodology like data mining that detects and analyzes important information in health data. Health industries generate voluminous complex data. The massive medical database maintains information like patient history, images, medical claims and treatment, reports on radiology and pathology. Health data may be dynamic, high dimensional, inconsistent, noisy, imprecise and voluminous having missing values. The use of data mining to a great extent can enhance decision making and effectiveness of treatments in medical field. By converting voluminous healthcare data into knowledge, cost can be controlled, and quality of patient care can be improved. There has been a wide use of data mining techniques for finding newer patterns in medical data. Some of its uses in medical field involve grouping and finding the relationship between genes, discovering patterns between brain images, developing prediction models of lung cancer and breast cancer, detecting diabetes, finding new drugs etc. (Ting et al., 2009).