Work

Supplementary Material

Year: 2026

Type: supplementary-materials

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.”

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18656389

Authors: Banerjee, Meghna, Chatterjee, Debashis, Chakraborty, Arindom

Institutions: Banasthali University, Visva-Bharati University

Language: English

Topic: SARS-CoV-2 and COVID-19 Research

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W7129105931

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