QTc-Based Machine Learning Analysis of COVID-19 and Post-COVID-19 Patients-Reference-Cited by-同舟云学术

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QTc-Based Machine Learning Analysis of COVID-19 and Post-COVID-19 Patients

Published:2023-12-14 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
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Author:

Frikha Hounaida¹,Chrifi-Alaoui Larbi²,Fokapu Odette³,Meddeb-Makhlouf Amel¹,Zarai Faouzi¹

Affiliation:

1. National School of Electronics and Telecommunications of Sfax,NTS'COM research unit Sfax,Sfax,Tunisia

2. Technology University of Picardie Jules Verne Cuffies,Laboratory of Innovative,France

3. UMR CNRS 7338 Biomécanique and Bioingénierie University of Technology of Compiègne,Compiégne,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10477677/10477776/10477841.pdf?arnumber=10477841

Reference33 articles.

1. Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein

2. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak

3. SARS-CoV-2 pathophysiology and its clinical implications: An integrative overview of the pharmacotherapeutic management of COVID-19

4. CoronaTracker: world-wide COVID-19 outbreak data analysis and prediction;Binti Hamzah;Bull World Health Organ. Epub ahead of print,2020

5. An interactive web-based dashboard to track COVID-19 in real time

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