Open AccessExtracting Mutual Interaction Rules Using Fuzzy Structured Agent-based Model of Tumor-Immune System Interactions
Author(s) -
Armin Allahverdy,
Sarah Rahbar,
Reza Mirzaei,
Mansoureh Ajami,
Afshin Namdar,
Sima Habibi,
Jamshid Hadjati,
Amir Homayoun Jafari
Publication year - 2019
Publication title -
journal of biomedical physics and engineering
Language(s) - English
Resource type - Journals
pISSN - 2251-7200
DOI - 10.31661/jbpe.v0i0.489
Subject(s) - immune system , computer science , component (thermodynamics) , fuzzy logic , artificial intelligence , biological system , biology , physics , immunology , thermodynamics
There are many studies to investigate the effects of each interacting component of tumor-immune system interactions. In all these studies, the distinct effect of each component was investigated. As the interaction of tumor-immune system has feedback and is complex, the alternation of each component may affect other components indirectly.