SARS-CoV-2 virus variant detection and mortality prediction through symptom analysis using machine learning

Author:

Fatima NedaORCID,Ahmad Anwar

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference21 articles.

1. Benchmarking machine learning robustness in Covid-19 genome sequence classification;Ali;Sci. Rep.,2023

2. Artificial intelligence and machine learning to fight COVID-19;Alimadadi;Physiol. Genom.,2020

3. Classifying COVID-19 Variants Based on Genetic Sequences Using Deep Learning Models;Basu,2023

4. Modelling Death Rates Due to COVID-19: A Bayesian Approach;Bayes,2020

5. J. Cabrera Alvargonzáleza et al., “Can A Machine Learning Algorithm Identify Sars-Cov-2 Variants Based on Conventional Rrt-Pcr? Proof of Concept,” Doi: 10.1101/2021.11.12.21266286.

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