Comprehensive study on ensemble classification for medical applications

Abstract

The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data min-ing. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and anal-yses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accu-rately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining and other related areas.