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Based on the agent-based model presented herein, clinicians can predict the sepsis pathogenesis for patients using the prognostic indicators from the simulation results, planning the proper therapeutic interventions accordingly. Impressively, the modeling approach presented creates a friendly user-interface allowing physicians to visualize and capture the potential AIR progression patterns. Based on the computational studies, the simulated behavior of the agent\u2013based model conforms to the mechanisms described by the system dynamics mathematical models established in previous research.<\/jats:p>","DOI":"10.4018\/jalr.2011040106","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T16:04:37Z","timestamp":1319040277000},"page":"105-121","source":"Crossref","is-referenced-by-count":6,"title":["An Autonomous Multi-Agent Simulation Model for Acute Inflammatory Response"],"prefix":"10.4018","volume":"2","author":[{"given":"John","family":"Wu","sequence":"first","affiliation":[{"name":"Kansas State University, USA"}]},{"given":"David","family":"Ben-Arieh","sequence":"additional","affiliation":[{"name":"Kansas State University, USA"}]},{"given":"Zhenzhen","family":"Shi","sequence":"additional","affiliation":[{"name":"Kansas State University, USA"}]}],"member":"2432","reference":[{"key":"jalr.2011040106-0","doi-asserted-by":"publisher","DOI":"10.1097\/00024382-200116040-00006"},{"key":"jalr.2011040106-1","doi-asserted-by":"publisher","DOI":"10.1097\/01.CCM.0000139707.13729.7D"},{"key":"jalr.2011040106-2","doi-asserted-by":"publisher","DOI":"10.1097\/00003246-200107000-00002"},{"key":"jalr.2011040106-3","doi-asserted-by":"publisher","DOI":"10.1001\/jama.288.7.862"},{"issue":"2","key":"jalr.2011040106-4","first-page":"127","article-title":"Prolonged serum half-life of cortisol in renal failure.","volume":"132","author":"G. 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