Deep learning based classification of COVID-19 severity using hierarchical deep maxout model

Author:

Surya Bhupal Rao M.,Mallikarjuna Rao Y.,Venkataiah C.,Murthy G.L.N.,Dharani M.,Jayamma Manjula

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference35 articles.

1. Covid-19: WHO declares pandemic because of “alarming levels” of spread, severity, and inaction;Mahase;BMJ,2020

2. The effect of smoking on COVID-19 severity: A systematic review and meta-analysis;Reddy;J. Med. Virol.,2021

3. Factors associated with COVID-19 severity and mortality among Hispanic patients living on the USA-Mexico border;Cervantes;J. Invest. Med.,2021

4. Y. Wang, M. Hu, Q. Li, X.P. Zhang, G. Zhai, N. Yao, Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner. arXiv preprint arXiv:2002.05534, 2020.

5. M. Cascella, M. Rajnik, A. Aleem, S.C. Dulebohn, R. Di Napoli, Features, evaluation, and treatment of coronavirus (COVID-19).

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