Review on COVID-19 diagnosis models based on machine learning and deep learning approaches

Review on COVID-19 diagnosis models based on machine learning and deep learning approaches

COVID-19 is the disease evoked by a new breed of coronavirus called the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Recently, COVID-19 has become a pandemic by infecting more than 152 million people in over 216 countries and territories. The exponential increase in the number of in...

Full description

Saved in:
Bibliographic Details
Main Author: Abu Zitar, Raed (author)
Other Authors: Alyasseri, Zaid Abdi Alkareem (author), Al-Betar, Mohammed Azmi (author), Doush, Iyad Abu (author), Awadallah, Mohammed A. (author), Abasi, Ammar Kamal (author), Makhadmeh, Sharif Naser (author), Alomari, Osama Ahmad (author), Abdulkareem, Karrar Hameed (author), Adam, Afzan (author), Damasevicius, Robertas (author), Mohammed, Mazin Abed (author)
Published: 2021
Subjects:
2019-nCoV
COVID-19 dataset
Machine learning
Deep learning
Online Access:http://hdl.handle.net/20.500.12458/481
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items