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Hybrid data mining for medical applications

chapter
posted on 06.12.2017, 00:00 by Syed HassanSyed Hassan, Brijesh VermaBrijesh Verma
This chapter focuses on hybrid data mining algorithms and their use in medical applications. It reviews existing data mining algorithms and presents a novel hybrid data mining approach, which takes advantage of intelligent and statistical modeling of data mining algorithms to extract meaningful patterns from medical data repositories. Various hybrid combinations of data mining algorithms are formulated and tested on a benchmark medical database. The chapter includes the experimental results with existing and new hybrid approaches to demonstrate the superiority of hybrid data mining algorithms over standard algorithms.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Editor

Syed MR; Syed SN

Start Page

523

End Page

543

Number of Pages

21

ISBN-13

9781599048871

Publisher

Information Science Reference

Place of Publication

Hershey, PA

Open Access

No

External Author Affiliations

Faculty of Business and Informatics;

Era Eligible

Yes

Number of Chapters

35