A Dynamic Immune Recognition Model Based on the Cell Death Theory

Author

Yuan Tao ; Gengfeng Wu ; Min Hu

Author_Institution

Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

In this paper a dynamic immune recognition model based on the cell death theory is proposed. The model identifies the risk based on simulating the process of cell death. With the dynamic description of the risk feature library, the model not only recognize external invasion but also effectively distinguishes self tolerance and autoimmunity. Besides, we learn from the pathogenesis of chronic disease to identify potential risks. The model effectively minimizes misjudgment rate and make a quick response. The experiments illustrate the availability and feasibility of the model.

Keywords

artificial immune systems; pattern recognition; risk analysis; autoimmunity; cell death theory; chronic disease; dynamic immune recognition model; external invasion; pathogenesis; risk feature library; risk identification; self tolerance; Biological system modeling; Business; Cells (biology); Computational modeling; Diseases; Immune system; Libraries; Monitoring; Pathogens; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5362580

Filename

5362580