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.
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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