期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：3
页码：1541-1544
出版社：TechScience Publications
摘要：Diagnosis of health conditions is a very challengingtask in field of medical science. In medical science, day by daydata is increasing continuously and creates problem toidentify the accurate diseases. Data mining based classificationplays very important role in classification of data. In thisresearch work we have used various data mining basedclassification technique to develop the classifier forclassification of liver and non liver patient. We have usedtechniques like C4.5, Random Forest (RF), MultilayerPerceptron(MLP), Classification and Regression Technique(CART) and applied all these techniques on liver patient datacollected from UCI repository.In this paper we have usedensemble model to develop the robust classification modelwhich gives higher classification accuracy compare to itsindividual model. We have also used Information gain featureselection technique is applied on best model ensemble of C4.5,Random Forest and CART which gives 76.02% of accuracywith 3 numbers of features.
