Expert System for Predicting Oncological Diseases
David SHUMAKOV, Nadezhda Tomilova, Даниил Евгеньевич Шафеев, Alexander BASHIROV, A. A. Kalinin · Trudy Universiteta · 2025
The process of developing an expert system for predicting oncological diseases based on machine learning methods is considered. An analysis of modern approaches to creating expert systems and their application in medicine is conducted. The Keras library is used to build deep learning models. In the course of the work, the system architecture was designed, including the stages of data processing, analysis and forecasting. A software implementation was also developed that allows identifying hidden patterns in medical data and predicting the likelihood of diseases. The system demonstrates high accuracy and adaptability, which makes it an effective tool for supporting medical decisions. The results obtained confirm the promise of using artificial intelligence technologies for early diagnosis and personalized treatment.