Unraveling COVID-19 Dynamics via Machine Learning and XAI: Investigating Variant Influence and Prognostic Classification

Unraveling COVID-19 Dynamics via Machine Learning and XAI: Investigating Variant Influence and Prognostic Classification

Machine learning (ML) has been used in different ways in the fight against COVID-19 disease. ML models have been developed, e.g., for diagnostic or prognostic purposes and using various modalities of data (e.g., textual, visual, or structured). Due to the many specific aspects of this disease and it...

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Bibliographic Details
Main Authors: Oliver Lohaj, Ján Paralič, Peter Bednár, Zuzana Paraličová, Matúš Huba
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Machine Learning and Knowledge Extraction
Subjects:
machine learning
COVID-19 prognostic model
CRISP-DM
knowledge extraction
risk factors
explainable artificial intelligence
Online Access:https://www.mdpi.com/2504-4990/5/4/64

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https://www.mdpi.com/2504-4990/5/4/64

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