INFORMATION SUPPORT MODEL FOR THE PROCESS OF EARLY DIAGNOSIS OF ONCOLOGICAL DISEASES IN CHILDREN BASED ON ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.47390/ts-v4i4y2026N02Keywords:
artificial intelligence, information model, oncological diseases, diagnosis, medical information system.Abstract
This article addresses the development of an information model based on artificial intelligence technologies aimed at improving the process of early diagnosis of oncological diseases in children. The study examines the processes of collection, storage, processing, and analysis of medical data. The proposed model makes it possible to determine the probability of a disease based on clinical data, laboratory results, and instrumental examination methods. This approach contributes to accelerating the diagnostic process and supporting clinical decision-making by physicians.
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