Background: The development of artificial intelligence (AI) in the medical field has been
growing rapidly. As AI models have been introduced in complementary and alternative …

Аннотация Показано, что ряд задач для медицинского прогнозирования, ранней и
дифференциальной диагностики при построении соответствующих экспертных систем …

Urologists and nephrologists attribute pyelonephritis of pregnant women to the category of
complicated upper urinary tract infections that threaten the development of a severe purulent …

Coronary vascular disease (CHD) is one of the most fatal diseases worldwide. Cardio
vascular diseases are not easily diagnosed in early disease stages. Early diagnosis is …

The work investigates neural network model for prediction of post-surgical treatment risks.
The descriptors of the risk classifiers are formed on the basis of the analysis of the current …

Many theories of reflexology use ancient concepts which do not coincide with the modern
medical terminology of anatomy, physiology and biophysics. This substantially reduces the …

The aim of the work is to develop fuzzy logic model to process health data involving
oxidative indicators in patients with pyelonephritis to predict the severity level of …

Modern medical risk classification systems focus on traditional risk factors and modeling
methods. The available modeling tools do not allow reliable prediction of the of disease …

In this study, for the early diagnosis of cardiovascular diseases, a multimodal classifier is
built, in which three groups of heterogeneous data are used. The data is classified by …

The aim of this work is to reduce the time and cost of forecasting, preventing and treating
patients with infectious complications with kidney injuries. The study is based on the results …