- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1970-9366
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A comparison of machine learning algorithms in predicting COVID-19 prognostics ; day:18 ; month:9 ; year:2022 ; pages:1-11
Internal and emergency medicine ; (18.9.2022), 1-11
- Creator
-
Ustebay, Serpil
Sarmis, Abdurrahman
Kaya, Gulsum Kubra
Sujan, Mark
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s11739-022-03101-x
- URN
-
urn:nbn:de:101:1-2022120521255262024687
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ustebay, Serpil
- Sarmis, Abdurrahman
- Kaya, Gulsum Kubra
- Sujan, Mark
- SpringerLink (Online service)
Other Objects (12)
Comparing machine learning algorithms for predicting COVID-19 mortality
Machine learning algorithms for predicting COVID-19 mortality in Ethiopia
Predicting tile drainage discharge using machine learning algorithms
Predicting cash holdings using supervised machine learning algorithms
Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms
Predicting stroke severity of patients using interpretable machine learning algorithms
Machine learning algorithms for predicting low birth weight in Ethiopia
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality
A comparative analysis of machine learning algorithms for predicting wave runup
Predicting building energy consumption in urban neighborhoods using machine learning algorithms
Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms
Machine translation of English speech: Comparison of multiple algorithms
Comparing machine learning algorithms for predicting COVID-19 mortality
Machine learning algorithms for predicting COVID-19 mortality in Ethiopia
Predicting tile drainage discharge using machine learning algorithms
Predicting cash holdings using supervised machine learning algorithms
Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms
Predicting stroke severity of patients using interpretable machine learning algorithms
Machine learning algorithms for predicting low birth weight in Ethiopia
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality
A comparative analysis of machine learning algorithms for predicting wave runup
Predicting building energy consumption in urban neighborhoods using machine learning algorithms
Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms
Machine translation of English speech: Comparison of multiple algorithms
Comparing machine learning algorithms for predicting COVID-19 mortality
Machine learning algorithms for predicting COVID-19 mortality in Ethiopia
Predicting tile drainage discharge using machine learning algorithms
Predicting cash holdings using supervised machine learning algorithms
Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms
Predicting stroke severity of patients using interpretable machine learning algorithms
Machine learning algorithms for predicting low birth weight in Ethiopia
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality
A comparative analysis of machine learning algorithms for predicting wave runup
Predicting building energy consumption in urban neighborhoods using machine learning algorithms
Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms