Special opinion
  • 2020 № 4 The Logic of mental models in evidence-based medicine

    The actual task of supplementing intelligent systems of evidence-based medicine with technically implemented mental
    models is set. Using these models, the user understands the results of digital models in Big Data systems. Clarified concepts related to this issue. The electronic components of neural networks for the implementation of mental models is defined. A variant of continuous logic of mental models is proposed. Functional expressions of convolutions of input signals of artificial neurons are constructed. The basic operations for use in the computational architecture of a neural network are defined. Prospects for the development of this issue are outlined.

    Authors: Samkov L. M. [1]

    Tags: continuous logic1 memristor1 mental model1 neural network2 neurocomputer1 synapstor1

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  • Decision support systems
  • 2020 № 3 Making diagnostic decisions with the help of neural networks for disorders of the functioning of the gastrointestinal tract caused by the influence of parasites

    The possibilities of using the processing and analysis method in medical research using an artificial neural network to improve the accuracy of diagnosing diseases of the gastrointestinal tract due to the influence of various parasites are considered.
    Symptoms and diseases associated with the influence of the main parasites in the gastrointestinal tract are highlighted. Based on
    this information, the implementation on the NeuroPro network emulator is carried out. The results of disease progression based
    on selected symptoms using a neural network are presented. For a specific disease, significant input parameters of the network
    are determined.

    Authors: Abdullaev N. T. [1] K. Sh. Pashaeva [1] Musevi U. N. [1]

    Tags: diagnosis4 disease symptoms1 gastrointestinal tract1 neural network2 parasites1 significant parameters1

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