Інформаційна технологія прогнозування побічних ефектів поліпрагмазії за допомогою графової нейронної мережі

Abstract

The relevance of the use of information technology for predicting the side effects of polypharmacy using a graph neural network was determined, which makes it possible to predict the negative consequences of therapy and to prevent them. A new architecture of a graph neural network is proposed due to additional augmentations of the existing one.