{"title":"Linguistic methods in healthcare application and COVID-19 variants classification.","authors":"Marek R Ogiela, Urszula Ogiela","doi":"10.1007/s00521-021-06286-y","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":49766,"journal":{"name":"Neural Computing & Applications","volume":"35 19","pages":"13935-13940"},"PeriodicalIF":4.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s00521-021-06286-y","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Computing & Applications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s00521-021-06286-y","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/7/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 5
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.
期刊介绍：
Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.
All items relevant to building practical systems are within its scope, including but not limited to:
-adaptive computing-
algorithms-
applicable neural networks theory-
applied statistics-
architectures-
artificial intelligence-
benchmarks-
case histories of innovative applications-
fuzzy logic-
genetic algorithms-
hardware implementations-
hybrid intelligent systems-
intelligent agents-
intelligent control systems-
intelligent diagnostics-
intelligent forecasting-
machine learning-
neural networks-
neuro-fuzzy systems-
pattern recognition-
performance measures-
self-learning systems-
software simulations-
supervised and unsupervised learning methods-
system engineering and integration.
Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews and Announcements.
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