The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, Mihai Andronie, Katarina Frajtova Michalikova, Zdenka Musova, Mariana Iatagan, Cristian Uță, Lucia Michalkova, Maria Kovacova, Roxana Ștefănescu, Iulian Hurloiu, Stanislav Zabojnik, Robert Stefko, Adrian Dijmărescu, Irina Dijmărescu, Marinela Geamănu
| Year of publication: |
2024
|
|---|---|
| Authors: | Lăzăroiu, George ; Gedeon, Tom ; Rogalska, Elżbieta ; Andronie, Mihai ; Michalikova, Katarina Frajtova ; Musova, Zdenka ; Iatagan, Mariana ; Uță, Cristian ; Michalkova, Lucia ; Kovacova, Maria ; Ștefănescu, Roxana ; Hurloiu, Iulian ; Zabojnik, Stanislav ; Stefko, Robert ; Dijmărescu, Adrian ; Dijmărescu, Irina ; Geamănu, Marinela |
| Published in: |
Oeconomia Copernicana. - Olsztyn, Poland : Institute of Economic Research, ISSN 2353-1827, ZDB-ID 2754520-9. - Vol. 15.2024, 1, p. 27-58
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| Subject: | deep and machine learning | COVID 19 | prediction | detection | diagnosis | organizational management | hospital | Künstliche Intelligenz | Artificial intelligence | Coronavirus | Krankenhaus | Hospital | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.24136/oc.2984 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014521295