AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania’s First Wave of COVID-19

AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania’s First Wave of COVID-19

Background: The COVID-19 pandemic severely impacted healthcare systems, affecting patient outcomes and resource allocation. This study applied automated machine learning (AutoML) to analyze key health outputs, such as discharge conditions, mortality, and COVID-19 cases, with the goal of improving re...

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Bibliographic Details
Main Authors: Sonja C. S. Simon, Igor Bibi, Daniel Schaffert, Johannes Benecke, Niklas Martin, Jan Leipe, Cristian Vladescu, Victor Olsavszky
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Bioengineering
Subjects:
automated machine learning
artificial intelligence
COVID-19
disease prediction
Online Access:https://www.mdpi.com/2306-5354/11/12/1272
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https://www.mdpi.com/2306-5354/11/12/1272

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