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