A Survey for Using AI Techniques for Predicting COVID-19
2nd International Conference on Computer Science and Software Engineering, CSASE 2022
; : 1-6, 2022.
Article
in English
| Scopus | ID: covidwho-1861088
ABSTRACT
Artificial intelligence has finally brought in a qualitative leap in health care, allowing for the exploration of medical data for decision support and prediction. Recent research has demonstrated that artificial intelligence and machine learning is being used to combat the COVID-19 infection. Prediction models can be incorporated and thus aid in designing better strategies and making effective decisions. These technologies analyze past events to make better predictions about what will happen in the future, which may aid in preparation for potential threats and consequences. This survey paper aimed to cover a group of research that uses artificial intelligence applications to predict COVID-19 disease. This survey systematically presented the research to extract data mainly related to the type of article, publication date, research objectives, study context, results, methodology, algorithm, and data set © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
/
Prognostic study
Language:
English
Journal:
2nd International Conference on Computer Science and Software Engineering, CSASE 2022
Year:
2022
Document Type:
Article
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