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A FUZZY CLASSIFIER FOR DRUG SENSITIVITY IN SEPTIC PATIENTS DURING CARDIOPULMONARY BYPASS

机译:心肺旁路手术中癫痫患者药物敏感性的模糊分类器

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摘要

A compartmental model is modified to simulate the capillary leak associated with Sepsis and Cardiopulmonary Bypass (CPB). This involves continuously updating the oncotic pressures with regard to the flows in and out of each compartment. As a result, it is possible to model the effects of administering fluids with different oncotic pressures on filtration. The model allows for simulated infusions of vasoactive and inotropic drugs with a range of sensitivities to these drugs, giving a comprehensive platform for testing various control strategies. Furthermore, a fuzzy logic based system is designed to classify drug responses according to sensitivity, using the drug input and mean arterial pressure (MAP) signals from the model. This can be used as part of a comprehensive drug decision support system to estimate initial sensitivity and/or detect long-term changes in drug sensitivity.
机译:修改了隔室模型以模拟与脓毒症和心肺旁路(CPB)相关的毛细血管渗漏。这涉及关于流入和流出每个隔室的流体的渗透压不断地更新。结果,可以模拟以不同的渗透压施加流体对过滤的影响。该模型允许对血管活性药物和正性肌力药物进行模拟输注,并对这些药物具有多种敏感性,从而为测试各种控制策略提供了一个全面的平台。此外,使用基于模型的药物输入和平均动脉压(MAP)信号,将基于模糊逻辑的系统设计为根据敏感性对药物反应进行分类。这可以用作综合药物决策支持系统的一部分,以估计初始敏感性和/或检测药物敏感性的长期变化。

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