Title :
Differential Equations Systems versus Scale Free Networks in Sepsis Modeling
Author :
Dobrescu, Radu N. ; Andone, Daniela A. ; Dobrescu, Matei R. ; Mocanu, Stefan
Author_Institution :
Fac. of Control & Comput., Politehnica Univ. of Bucharest
Abstract :
The paper proposes a comparison between models that relieves the characteristics of the patient evolution in sepsis as the result of correct or corrupted information transfer as the cell level. Specifically, two different models for the cellular interactions are compared - one based on a three variables system of differential equations, the other on a cellular interaction scale free network. The advantages and limits of each model in understanding the structure of cellular signaling networks involved in sepsis phenomena are finally discussed
Keywords :
biology; complex networks; differential equations; cellular interactions; cellular signaling network; differential equations system; patient evolution; scale free networks; sepsis modeling; Biochemistry; Biological system modeling; Cellular networks; Complex networks; Computational modeling; Differential equations; Evolution (biology); Immune system; In vitro; Nonlinear systems; Complex nonlinear systems; cellular signalling; intercellular communication; scale free networks; sepsis;
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-01996-8
Electronic_ISBN :
1-4244-01996-8
DOI :
10.1109/IS.2006.348392
