Abstract
From public health and clinical point of view, sepsis is a life-threatening complication and its mechanisms are still not fully understood. This article claims that Multiagent Systems are suitable to help elucidate this phenomenon and that it is possible to carry out simulations that can be used in the observation of emergent behaviors, enabling a better understanding of the disease. Requirements for computational simulation of sepsis in AutoSimmune system are presented as also the simulation results. The results presented when using more aggressive pathogens are compatible with sepsis by simultaneously presenting symptoms such as fever, bacteria in the blood and Leukocytosis as reported in literature.
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de Sousa, F.O., de Paiva, A.O., Santana, L.A., Ribeiro Cerqueira, F., Siqueira-Batista, R., Gomes, A.P. (2014). Predicting the Occurrence of Sepsis by In Silico Simulation. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Nature-Inspired Computation and Machine Learning. MICAI 2014. Lecture Notes in Computer Science(), vol 8857. Springer, Cham. https://doi.org/10.1007/978-3-319-13650-9_42
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DOI: https://doi.org/10.1007/978-3-319-13650-9_42
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