Combined machine learning and finite element simulation approach towards personalized model for prognosis of COVID-19 disease development in patients

Blagojević, Anđela and Šušteršič, Tijana and Lorencin, Ivan and Šegota, Sandi Baressi and Milovanović, Dragan and Baskić, Danijela and Baskić, Dejan and Car, Zlatan and Filipović, Nenad (2021) Combined machine learning and finite element simulation approach towards personalized model for prognosis of COVID-19 disease development in patients. EAI Endorsed Transactions on Bioengineering and Bioinformatics, 1 (2). e6. ISSN 2709-4111

[img]
Preview
 Text
eai.12-3-2021.169028.pdf
Available under License Creative Commons Attribution No Derivatives.
Download (2MB) | Preview
Item Type: Article
Uncontrolled Keywords: COVID-19, machine learning, personalized model, U-net, classification, predictive models, finite element simulation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Depositing User: EAI Editor IV
Date Deposited: 26 Mar 2021 13:49
Last Modified: 26 Mar 2021 13:49
URI: https://eprints.eudl.eu/id/eprint/2012

Actions (login required)

View Item View Item
CORE (COnnecting REpositories)
eudl is powered by EPrints 3.4 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.