Year: 2025
Type: article
Abstract: The paper presents an approach to design an information system based on a neural network graph architecture. This approach is designed to mitigate the problem of explicit explanation of decisions made by artificial intelligence — the problem of transparency (explainability, reliability, trustworthiness). The use of artificial intelligence technologies in medicine has a “transversal” character and contributes to the creation of conditions for improving efficiency and formation of fundamentally new areas of activity: automation of routine (repetitive) operations; use of autonomous intelligent equipment and robotic complexes, intelligent control systems; increasing the efficiency of planning, forecasting and medical decision-making processes. A promising technology of the proposed approach is the use of graph neural network architecture as part of the information system for data processing and analysis. In this article we introduce an example of graph node classification on an open dataset with cardio-data of conditionally healthy people and patients.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411367804