Abstract

Data mining techniques are rapidly developed for many applications. In recent year, Data mining in healthcare is an emerging field research and development of intelligent medical diagnosis system. Classification is the major research topic in data mining. Decision trees are popular methods for classification. In this paper many decision tree classifiers are used for diagnosis of medical datasets. AD Tree, J48, NB Tree, Random Tree and Random Forest algorithms are used for analysis of medical dataset. Heart disease dataset, Diabetes dataset and Hepatitis disorder dataset are used to test the decision tree models. by Aung Nway Oo | Thin Naing ""Decision Tree Models for Medical Diagnosis"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23510.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/23510/decision-tree-models-for-medical-diagnosis/aung-nway-oo"

Authors and Affiliations