A New Machine Learning Framework for Detecting COVID-19 From Clinical Data on Lung And Heart Function-Reference-Cited by-同舟云学术

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A New Machine Learning Framework for Detecting COVID-19 From Clinical Data on Lung And Heart Function

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 Fifth National Conference of Saudi Computers Colleges (NCCC)
language:
Short-container-title:

Author:

Alzahrani Ahmad A.¹,Bataineh Bilal¹,Alshammari Hamoud H.²,Kabrah Saeed³,Baghdadi Mohammed⁴

Affiliation:

1. Umm-AlQura University,Information Systems Department,Makkah,Saudi Arabia

2. Jouf University,Computer and Information Systems,Skaka,Saudi Arabia

3. Umm Al-Qura University,Laboratory Medicine Department,Makkah,Saudi Arabia

4. King Faisal Specialist Hospital,Research Centre (KFSH&RC),Jeddah,Kingdom of Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10067249/10067273/10067357.pdf?arnumber=10067357

Reference26 articles.

1. Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion

2. A critical review of emerging technologies for tackling COVID ‐19 pandemic

3. Automated detection of COVID-19 cough

4. A novel bayesian optimization-based machine learning framework for covid-19 detection from inpatient facility data;awal;IEEE Access,2021

5. Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives

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