Title :
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
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;
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
DOI :
10.1109/CISE.2009.5362580
