Title :
Application of CART algorithm in hepatitis disease diagnosis
Author_Institution :
Dept. of Comput. Sci. & Eng., Anna Univ. of Technol., Tiruchirappalli, India
Abstract :
The healthcare industry collects a huge amount of data which is not properly mined and not put to the optimum use. Discovery of these hidden patterns and relationships often goes unexploited. Our research focuses on this aspect of Medical diagnosis by learning pattern through the collected data of hepatitis and to develop intelligent medical decision support systems to help the physicians. In this paper, we propose the use of decision trees C4.5 algorithm, ID3 algorithm and CART algorithm to classify these diseases and compare the effectiveness, correction rate among them. Thus, the CART derived model along with the extended definition for identifying (diagnosing) hepatitis disease provided a good classification accuracy based model.
Keywords :
data mining; decision support systems; decision trees; diagnostic expert systems; diseases; health care; medical diagnostic computing; medical expert systems; patient diagnosis; pattern classification; C4.5 algorithm; CART algorithm; ID3 algorithm; classification accuracy; data mining; decision trees; healthcare industry; hepatitis disease diagnosis; intelligent medical decision support system; learning pattern; medical diagnosis; Algorithm design and analysis; Classification algorithms; Data mining; Decision trees; Diseases; Heuristic algorithms; Prediction algorithms; Active learning; C4.5 algorithm; CART algorithm; ID3 algorithm; data mining; domain expert; dynamic query;
Conference_Titel :
Recent Trends in Information Technology (ICRTIT), 2011 International Conference on
Conference_Location :
Chennai, Tamil Nadu
Print_ISBN :
978-1-4577-0588-5
DOI :
10.1109/ICRTIT.2011.5972349
