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Title: Applying rule-based classification techniques to medical databases: an empirical study

Authors: R.P. Datta; Sanjib Saha

Addresses: Department of Information Technology, Indian Institute of Foreign Trade, Kolkata Campus, Premise No. 1583, Madurdaha, Kolkata-700107, West Bengal, India ' Department of Computer Science and Engineering, Dr. B.C. Roy Engineering College, Jemua Road, Fuljhore, Durgapur, West Bengal, 713206, India

Abstract: In the process of analysing and interpreting medical data, various classification techniques have been widely applied with a lot of success. A number of classification algorithms are available for this purpose and many researchers face the problem of choosing the best method for a particular dataset. In this paper, we apply five well-known, rule-based classification techniques on different medical datasets and compare their relative merits and demerits. Subsequently, we interpret their applicability in classifying patients into groups.

Keywords: data mining; knowledge discovery; rule-based classification; medical databases; medical data; patients; patient groups; patient classification; machine learning; association rules mining; decision tables.

DOI: 10.1504/IJBISE.2016.081590

International Journal of Business Intelligence and Systems Engineering, 2016 Vol.1 No.1, pp.32 - 48

Received: 22 Nov 2014
Accepted: 01 Jul 2015

Published online: 16 Jan 2017 *

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