COVID-19 prediction using machine learning based on the patient's vital signs: A case for Saudi Arabia-Reference-Cited by-同舟云学术

COVID-19 prediction using machine learning based on the patient's vital signs: A case for Saudi Arabia

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)
language:
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Author:

Ibrahim Nehad M.¹,Alqudaihi Kawther S.¹,Almuhaideb Abdullah M.²,Khan Irfan Ullah¹,Olatunji Aadam S.O.³,Alhaidari Fahd A.²,Aslam Nida¹,Alshahrani Mohammed S.⁴

Affiliation:

1. College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University,Department of Computer Science,Dammam,Saudi Arabia,31441

2. College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University,Department of Networks and Communications,Dammam,Saudi Arabia,31441

3. College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University,Department of Computer Engineering,Dammam,Saudi Arabia,31441

4. College of Medicine, Imam Abdulrahman Bin Faisal University,Department of Emergency Medicine,Dammam,Saudi Arabia,31441

Funder

King Abdulaziz City for Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10008224/10008233/10008242.pdf?arnumber=10008242

Reference21 articles.

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4. Predicting COVID19 Spread in Saudi Arabia Using Artificial Intelligence Techniques—Proposing a Shift Towards a Sustainable Healthcare Approach

5. From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans