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.
| Mualliflar | Yakubov, Maksadkhan, Shikhnazarova, Guzal |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2026-04-25 |
| Jild | 4 |
| Son | 4 |
| Betlar | 11-16 |
| Til | O‘zbek |
| DOI | 10.47390/ts-v4i4y2026n02 |
DOI: 10.47390/ts-v4i4y2026n02 · Maqolaning asl sahifasi
artificial intelligence, information model, oncological diseases, diagnosis, medical information system., sun’iy intellekt, axborot modeli, onkologik kasalliklar, diagnostika, tibbiy axborot tizimi.
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