A Novel Chaotic Ant Swarm Based Clustering Algorithm for Clinical Prediction
Haohan Wang, Lixiang Li, Xi Yang, Chong Lian · 2012
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.