Does COVID-19 Clinical Status Associate with Outcome Severity? An Unsupervised Machine Learning Approach for Knowledge Extraction

Does COVID-19 Clinical Status Associate with Outcome Severity? An Unsupervised Machine Learning Approach for Knowledge Extraction

Since the beginning of the COVID-19 pandemic, 195 million people have been infected and 4.2 million have died from the disease or its side effects. Physicians, healthcare scientists and medical staff continuously try to deal with overloaded hospital admissions, while in parallel, they try to identif...

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Bibliographic Details
Main Authors: Eleni Karlafti, Athanasios Anagnostis, Evangelia Kotzakioulafi, Michaela Chrysanthi Vittoraki, Ariadni Eufraimidou, Kristine Kasarjyan, Katerina Eufraimidou, Georgia Dimitriadou, Chrisovalantis Kakanis, Michail Anthopoulos, Georgia Kaiafa, Christos Savopoulos, Triantafyllos Didangelos
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Personalized Medicine
Subjects:
COVID-19
clinical severity
clustering
unsupervised machine learning
Gaussian mixture models
Online Access:https://www.mdpi.com/2075-4426/11/12/1380

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