ПЕРСПЕКТИВИ ВИКОРИСТАННЯ АЛГОРИТМІВ ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ ПРОГНОЗУВАННЯ ТА ВІДСТЕЖЕННЯ ПОБІЧНИХ ЕФЕКТІВ ЛІКАРСЬКИХ ЗАСОБІВ

This work studies the use of artificial intelligence (AI) algorithms for predicting and monitoring the side effects of medicinal drugs. The first algorithm considers the use of a Geometric Self Expressive Model (GSEM) with data from the SIDER and OFFSIDES databases. In GSEM, the focus is on a matrix approach to predict the likelihood of drug side effects. It is also proposed to use the AI algorithm in post-clinical observation and in collecting patient data from social networks and forums for discussion. This research demonstrates the potential of AI as a complement to traditional methods with the aim of enhancing the safety of medical treatment.