Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Blagojević, Anđela"'
Autor:
Blagojević, Anđela, Šušteršič, Tijana, Lorencin, Ivan, Šegota, Sandi Baressi, Anđelić, Nikola, Milovanović, Dragan, Baskić, Danijela, Baskić, Dejan, Petrović, Nataša Zdravković, Sazdanović, Predrag, Car, Zlatan, Filipović, Nenad
Publikováno v:
In Computers in Biology and Medicine November 2021 138
Autor:
Baressi Šegota, Sandi, Blagojević, Anđela, Šušteršić, Tijana, Musulin, Jelena, Štifanić, Daniel, Glučina, Matko, Lorencin, Ivan, Anđelić, Nikola, Filipović, Nenad, Car, Zlatan
The reaction to and the effect severity on the population of COVID-19 varied across different countries. This indicates that there are country-level factors which influenced the severity COVID-19 effect on the populace. The goal of this research is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::7eea6c4e34e4e370854fcf96850fac92
https://www.bib.irb.hr/1199057
https://www.bib.irb.hr/1199057
This paper analyses the possibilities of using Machine learning to develop a forecasting model for COVID-19 with a publicly available dataset from the Johns Hopkins University COVID-19 Data Repository with the addition of the percentage of each varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::2ccd4099b22cfabaaabfe4831e443d40
https://www.bib.irb.hr/1195809
https://www.bib.irb.hr/1195809
Autor:
Blagojević, Anđela, Šušteršič, Tijana, Lorencin, Ivan, Baressi Šegota, Sandi, Anđelić, Nikola, Milovanović, Dragan, Baskić, Dejan, Car, Zlatan, Filipović, Nenad
Coronavirus disease (COVID-19), since its appearance, has put a large burden on the global health system which have strived to mitigate the pandemic, but mortality of COVID-19 continues to increase. Many authors have employed machine learning (ML) al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::047744560e4d0ffec976d7f546d09f3f
https://www.bib.irb.hr/1195802
https://www.bib.irb.hr/1195802
Autor:
Blagojević, Anđela, Šušteršič, Tijana, Lorencin, Ivan, Baressi Šegota, Sandi, Milovanović, Dragan, Baskić, Danijela, Baskić, Dejan, Car, Zlatan, Filipović, Nenad, Zdravković, Nataša, Mijailović, Sara, Zdravković, Nebojša
The use of artificial intelligence, especially machine learning methods in creating models that will be applied in clinical practice has reached its peak with the appearance of the COVID-19 pandemic. This study aims to determine the severity of the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::2fb8a5afa54bab4d4a7a9ae4b8df08fd
https://www.bib.irb.hr/1195804
https://www.bib.irb.hr/1195804
Autor:
Šušteršič, Tijana, Blagojević, Anđela
Publikováno v:
In Cardiovascular and Respiratory Bioengineering 2022:237-269
In this paper, a review of the project Use of Regressive Artificial Intelligence and Machine Learning Methods in Modelling of COVID-19 Spread (COVIDAi) is presented. The main goal of the project is to design two main AI-based models: epidemiological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::f969b1d8e0dad4cce741cf76ea00410e
https://www.bib.irb.hr/1131611
https://www.bib.irb.hr/1131611
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