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2012 (Vol. 4, Issue: 20)
Article Information:

A Novel Chaotic Ant Swarm Based Clustering Algorithm for Clinical Prediction

Haohan Wang, Lixiang Li, Xi Yang and Chong Lian
Corresponding Author:  Haohan Wang 

Key words:  Algorithm , CAS, clinical prediction, clustering, , ,
Vol. 4 , (20): 3981-3988
Submitted Accepted Published
December 20, 2011 April 20, 2012 October 15, 2012
Abstract:

In this study, we introduce an algorithm which is aimed at distinguishing patients of a certain disease out of healthy people when the thorough knowledge of this disease failed to be obtained. The algorithm deals with the physical parameters of each person in a group and when the information is sufficient, it separates the diseased people out. It is a clustering algorithm based on the Chaotic Ant Swarm (CAS). This algorithm is introduced in detail for researchers to use and has been experimented on four different real data sets. The results show that when sufficient data of each person is available, this new algorithm has a high precision.
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  Cite this Reference:
Haohan Wang, Lixiang Li, Xi Yang and Chong Lian, 2012. A Novel Chaotic Ant Swarm Based Clustering Algorithm for Clinical Prediction.  Research Journal of Applied Sciences, Engineering and Technology, 4(20): 3981-3988.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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