Building, training and validation an artificial intelligence-assisted Early Warning System for COVID-19 pandemic management
In: Revista Română de Informatică și Automatică, Jg. 31 (2021), Heft 2, S. 7-20
Online
academicJournal
Zugriff:
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.
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Building, training and validation an artificial intelligence-assisted Early Warning System for COVID-19 pandemic management
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Autor/in / Beteiligte Person: | Florin, POPESCU ; Cristian, ICHIMESCU |
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Zeitschrift: | Revista Română de Informatică și Automatică, Jg. 31 (2021), Heft 2, S. 7-20 |
Veröffentlichung: | ICI Publishing House, 2021 |
Medientyp: | academicJournal |
ISSN: | 1220-1758 (print) ; 1841-4303 (print) |
DOI: | 10.33436/v31i2y202101 |
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