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Development of an Information System to Help Identify Symptoms and Predict the Spread of COVID-19 Using Artificial Intelligence
5th Computational Methods in Systems and Software, CoMeSySo 2021 ; 232 LNNS:31-40, 2021.
Article in English | Scopus | ID: covidwho-1565286
ABSTRACT
The article discusses the development of an information system, the Main purpose of which is to help identify the symptoms of a new coronavirus infection COVID-19, predict the level of infection and mortality, using artificial intelligence technology, which is used for conducting a user survey and its subsequent analysis. Currently, predicting the rate of spread of COVID-19 is important for managing the situation and making decisions. Hospitals are overloaded and can’t accept all potential carriers, and the category of people who are prone to panic due to the slightest changes in their health status only complicates the work of medical institutions. The use of the developed technology will reduce the number of false calls to hospitals, help to make a forecast of the spread of infection, and also model the social graph of transmission from carriers to healthy people. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 5th Computational Methods in Systems and Software, CoMeSySo 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 5th Computational Methods in Systems and Software, CoMeSySo 2021 Year: 2021 Document Type: Article