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.
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