A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system

DOI10.3934/mbe.2022285OpenAlexW4226198723MaRDI QIDQ2686746

Vitaliy Yakovyna, Natalya Shakhovska, Valentyna Chopyak

Publication date: 28 February 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022285

zbMATH Keywords

machine learningbiomarkersCOVID-19ensemble classificationseverity prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Related Items (1)

Special issue: Informatics \& data-driven medicine-2021

Uses Software

• RStudio

Cites Work

• Is combining classifiers with stacking better than selecting the best one?
• Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method
• Benchmark for filter methods for feature selection in high-dimensional classification data
• Interpretable regularized class association rules algorithm for classification in a categorical data space

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