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A Comparative Study on Medical Diagnosis Using Predictive Data Mining: A Case Study
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Author(s): Seyed Jalaleddin Mousavirad (University of Kashan, Iran)and Hossein Ebrahimpour-Komleh (University of Kashan, Iran)
Copyright: 2014
Pages: 34
Source title:
Data Mining and Analysis in the Engineering Field
Source Author(s)/Editor(s): Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)
DOI: 10.4018/978-1-4666-6086-1.ch017
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Abstract
Medical diagnosis is a most important problem in medical data mining. The possible errors of a physician can reduce with the help of data mining techniques. The goal of this chapter is to analyze and compare predictive data mining techniques in the medical diagnosis. To this purpose, various data mining techniques such as decision tree, neural networks, support vector machine, and lazy modelling are considered. Results show data mining techniques can considerably help a physician.
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