Florin POPESCU, Cristian ICHIMESCU
National Defense University “Carol I” Bucharest
Abstract: 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