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Modeling and Control of HIV by Computational Intelligence Techniques

机译:计算智能技术艾滋病病毒的建模与控制

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The paper aims at proposing a controller through two-layer neural networks (NN) in order to control CD4 amount in HIV~+ Patients. In the same direction, initially a new mathematical model by using of two-layer neural networks (NN) was designed. Medical information of 300 HIV~+ Patients who were being treated in the Iranian Research Center for HIV/AIDS (IRCHA), Imam Khomeini Hospital, Tehran, was used to design this model. Highly active antiretroviral therapy (HAART) medical method is a significant method that was used in this study. It is worthy to say that CD4 amount declining leads to immune system deficiency and it is considered as one of AIDS main symptoms. Output of this mathematic model is used as feedback of one of the controller's inputs. In this paper, seven pharmaceutical groups were considered for HAART treatment method. Controller output is one of such pharmaceutical groups.
机译:本文旨在通过双层神经网络(NN)提出控制器,以控制HIV〜+患者中的CD4量。在相同的方向上,设计了通过使用双层神经网络(NN)的新数学模型。在伊朗艾滋病毒/艾滋病研究中心(IRCHA),德黑兰伊芒伊米姆·霍梅尼医院(IMAM Khome Hospital,德黑兰艾滋病研究中心的300艾滋病毒〜+患者的医疗信息用于设计该模型。高度活跃的抗逆转录病毒治疗(HAART)医疗方法是本研究中使用的重要方法。值得说明CD4金额下降导致免疫系统缺乏,并且被认为是艾滋病的主要症状之一。该数学模型的输出用作控制器输入之一的反馈。本文考虑了七种药物基团进行HAART处理方法。控制器输出是此类药物组之一。

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