Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Hybrid Data Mining for Medical Applications

Hybrid Data Mining for Medical Applications
View Sample PDF
Author(s): Syed Zahid Hassan (Central Queensland University, Australia) and Brijesh Verma (Central Queensland University, Australia)
Copyright: 2009
Pages: 21
Source title: Handbook of Research on Modern Systems Analysis and Design Technologies and Applications
Source Author(s)/Editor(s): Mahbubur Rahman Syed (Minnesota State University Mankato, USA) and Sharifun Nessa Syed (Minnesota State University - Mankato, USA)
DOI: 10.4018/978-1-59904-887-1.ch029


View Hybrid Data Mining for Medical Applications on the publisher's website for pricing and purchasing information.


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.

Related Content

Fayez Salma, Jorge Marx Gómez. © 2022. 16 pages.
Perla Velasco-Elizondo. © 2022. 23 pages.
Antonio Alexandre Moura Costa, Felipe Barbosa Araújo Ramos, Dalton Cézane Gomes Valadares, Danyllo Wagner Albuquerque, Emanuel Dantas Filho, Alexandre Braga Gomes, Mirko Barbosa Perkusich, Hyggo Oliveira de Almeida. © 2022. 16 pages.
Rimsy Dua, Samiksha Sharma, Rohit Kumar. © 2022. 11 pages.
Arunasalam Sambhanthan. © 2022. 17 pages.
Munish Saini, Kuljit Kaur Chahal. © 2022. 23 pages.
Cherie C. Trumbach, Kenneth R. Walsh, Sathiadev Mahesh. © 2022. 15 pages.
Body Bottom