Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51539
Title: Rule induction for screening Thalassemia using machine learning techniques: C5.0 and CART
Authors: Patcharaporn Paokanta
Michele Ceccarelli
Napat Harnpornchai
Nopasit Chakpitak
Somdet Srichairatanakool
Keywords: Computer Science
Engineering
Issue Date: 1-Feb-2012
Abstract: Rule induction has played an important role in implementing a medical expert system in the past decade, especially the Thalassemia Expert System. Due to the fact that Thalassemia indicators used in diagnosising types of Thalassemia are very complex, the induction rules C5.0 and Classification and Regression Tree (CART) will be used to elicit new information about Thalassemia. The results obtained from using both algorithms show the different rules separating types of this disease. In the future, these results will be used to develop the Thalassemia Expert System and these results will be compared to find a suitable algorithm. Other algorithms will also be considered. © 2012 ICIC International.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84856953354&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51539
ISSN: 1881803X
Appears in Collections:CMUL: Journal Articles

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