A Novel Method for Prediction of Human Diseases Using Machine Learning Algorithms

Abstract

Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain. In the past few decades, healthcare industries have become increasingly data intensive and with the advancements with digital technology and low cost storage media have led this growth in size, complexity and quantity of data collected. Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain. Hidden patterns are similarities and relationships in medical data like common treatment procedures provided to similar diseases or symptoms patterns that have occurred to previous patient. These patterns, if accurately discovered, can be utilized for clinical diagnosis. This research work proposes the use of data clustering for this purpose.