Szczegóły publikacji
Opis bibliograficzny
Linguistic methods in healthcare application and COVID-19 variants classification / Marek R. OGIELA, Urszula Ogiela // Neural Computing & Applications ; ISSN 0941-0643. — 2023 — vol. 35 iss. 19 special issue on IoT-based health monitoring system to handle pandemic diseases using estimated computing, s. 13935–13940. — Bibliogr. s. 13939–13940, Abstr. — Publikacja dostępna online od: 2021-07-06. — U. Ogiela - afiliacja: Pedagogical University of Krakow
Autorzy (2)
- AGHOgiela Marek
- Ogiela Urszula
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 148203 |
|---|---|
| Data dodania do BaDAP | 2023-10-11 |
| Tekst źródłowy | URL |
| DOI | 10.1007/s00521-021-06286-y |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Neural Computing & Applications |
Abstract
One of the most important goals of modern medicine is prevention against pandemic and civilization diseases. For such tasks, advanced IT infrastructures and intelligent AI systems are used, which allow supporting patients’ diagnosis and treatment. In our research, we also try to define efficient tools for coronavirus classification, especially using mathematical linguistic methods. This paper presents the ways of application of linguistics techniques in supporting effective management of medical data obtained during coronavirus treatments, and possibilities of application of such methods in classification of different variants of the coronaviruses detected for particular patients. Currently, several types of coronavirus are distinguished, which are characterized by differences in their RNA structure, which in turn causes an increase in the rate of mutation and infection with these viruses.