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Romanian Journal of Information Technology and Automatic Control / Vol. 31, No. 2, 2021
Building, training and validation an artificial intelligence assisted Early Warning System for COVID-19 pandemic management
Florin POPESCU, Cristian ICHIMESCU
Over time, even in the modern world, epidemics and pandemics have caused millions of deaths. Moreover, Europe and, implicitly Romania, are facing an aging population, which will be a crucial challenge in the fight against viruses for the coming years. Therefore, in the case of pandemics, as is the case Covid-19 pandemic, launching an artificial intelligence-assisted program, which could help pre-sort patients arriving in hospitals, has become crucial. This pilot study is a first phase of the UEFISCDI Project, T1 – Approaches to public health management in the context of the COVID-19 pandemic, in which “Carol I” National University is involved. The pilot study has the purpose and expected outcome to develop and implement an artificial intelligence-assisted early warning system able to make warnings and projections on the diagnostic and treatment capacity of COVID-19 cases in hospitals from different areas.
Keywords:
early warning, artificial intelligence, machine learning, diagnostic capacity, pandemics, COVID-19
CITE THIS PAPER AS:
Florin POPESCU,
Cristian ICHIMESCU,
"Building, training and validation an artificial intelligence assisted Early Warning System for COVID-19 pandemic management",
Romanian Journal of Information Technology and Automatic Control,
ISSN 1220-1758,
vol. 31(2),
pp. 7-20,
2021.
https://doi.org/10.33436/v31i2y202101