Blagojević, Anđela and Šušteršič, Tijana and Lorencin, Ivan and Šegota, Sandi 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.
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Abstract
INTRODUCTION: Machine learning algorithms and in silico models for the COVID-19 have been used to classify infectious people and predict their condition in time.
OBJECTIVES: This study aims at creating a personalized model that combines machine learning and finite element simulation approach in
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 14:10 |
| Last Modified: | 17 Apr 2026 09:04 |
| URI: | http://eprints.eai.eu/id/eprint/33565 |
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