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.
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This paper is designed as part of the state assignment of the Ministry of Science and Higher Education; project FEWM-2020–0036.
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Griva, E.V., Konovalov, S.V., Kulshin, R.S., Senchenko, P.V., Sidorov, A.A. (2021). Development of an Information System to Help Identify Symptoms and Predict the Spread of COVID-19 Using Artificial Intelligence. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Application in Informatics. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-030-90318-3_4
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DOI: https://doi.org/10.1007/978-3-030-90318-3_4
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