Automated Diagnosis of Heart Disease using Data Mining Techniques
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[1] Ajith,et al. Novel Ensemble Decision Support and Health Care Monitoring System , 2014 .
[2] Mohamed Medhat Gaber,et al. Random forests: from early developments to recent advancements , 2014 .
[3] Igor Kononenko,et al. Machine learning for medical diagnosis: history, state of the art and perspective , 2001, Artif. Intell. Medicine.
[4] Hitesh H. Parmar,et al. Experimental and Comparative Analysis of Machine Learning Classifiers , 2013 .
[5] Huiru Zheng,et al. Machine Learning for Medical Applications , 2015, TheScientificWorldJournal.
[6] R. R. Rajalaxmi,et al. A Data mining Model for predicting the Coronary Heart Disease using Random Forest Classifier , 2012 .
[7] N. Jaisankar,et al. Comprehensive Study of Heart Disease Diagnosis Using Data Mining and Soft Computing Techniques , 2013 .
[8] Dimitrios I. Fotiadis,et al. Automated Diagnosis of Diseases Based on Classification: Dynamic Determination of the Number of Trees in Random Forests Algorithm , 2012, IEEE Transactions on Information Technology in Biomedicine.
[9] Chetan Patil,et al. Heart Disease Diagnosis using Support Vector Machine , 2011 .
[10] Lawrence O. Hall,et al. A Comparison of Ensemble Creation Techniques , 2004, Multiple Classifier Systems.
[11] Bela Joglekar,et al. Random Forest Approach for characterizing Ensemble Classifiers. , 2014 .
[12] Laurent Heutte,et al. Forest-RK: A New Random Forest Induction Method , 2008, ICIC.