Title :
Artificial Immune Systems Applications in Cancer Research
Author :
Al-Enezi, J. ; Abbod, M.F. ; Al-Sharhan, S.
Author_Institution :
Sch. of Eng. & Design, Brunel Univ., Uxbridge, UK
Abstract :
Artificial Immune System (AIS) is a branch of computational intelligence that has gained increasing interest among researchers in the development of immune-based models and techniques to solve diverse complex computational problems. This work focuses on the application of AIS techniques to cancer research and specifically for prediction of the recurrence of cancer in patients. The objective is to test AIS models and algorithms for cancer research by validation against actual cancer datasets.
Keywords :
artificial immune systems; bioinformatics; cancer; AIS technique; artificial immune systems application; cancer dataset; cancer patient; cancer research; complex computational problem; computational intelligence; immune-based model; Accuracy; Artificial intelligence; Breast cancer; Clustering algorithms; Educational institutions; Immune system; Artificial immune systems; artificial immune networks; clonal selection; negative selection;
Conference_Titel :
Developments in E-systems Engineering (DeSE), 2011
Conference_Location :
Dubai
Print_ISBN :
978-1-4577-2186-1
DOI :
10.1109/DeSE.2011.36
