Supplementary Material

This repository contains all supplementary material associated with the manuscript titled “Current Trends in COVID-19 Severity: A Machine Learning Approach Based on Recent Variants, Genomic Mutations and Demographic Information.”

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-16
DOI
https://doi.org/10.5281/zenodo.18656389
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Supplementary Material

Meghna Banerjee, ARINDOM CHAKRABORTY, Debashis Chatterjee
Zenodo (CERN European Organization for Nuclear Research)
COVID-19 diagnosis using AI
article

Supplementary Material

Meghna Banerjee, ARINDOM CHAKRABORTY, Debashis Chatterjee
article en

Abstract

This repository contains all supplementary material associated with the manuscript titled “Current Trends in COVID-19 Severity: A Machine Learning Approach Based on Recent Variants, Genomic Mutations and Demographic Information.”

Zenodo (CERN European Organization for Nuclear Research)
Banasthali University (IN), Visva-Bharati University (IN)
Openalex Percentile: Top 54%
COVID-19 diagnosis using AI
DOIOpen Access PDFOpenAlex
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Supplementary Material — Meghna Banerjee, ARINDOM CHAKRABORTY, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS