Using Machine Learning Approaches to Distinguish COVID-19 from Other Upper Respiratory Tract Infections-Reference-Cited by-同舟云学术

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Using Machine Learning Approaches to Distinguish COVID-19 from Other Upper Respiratory Tract Infections

Published:2022-06-21 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Conference on Information and Communication Systems (ICICS)
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Author:

Rahhal Dania¹,Alhamouri Rahaf¹,Mustafa Ahmad¹

Affiliation:

1. Jordan University of Science and Technology,Department of Computer and Information Systems,Irbid,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9810981/9811103/09811206.pdf?arnumber=9811206

Reference41 articles.

1. A survey on ensemble learning | SpringerLink,0

2. Efficient Ordering Policy for Imperfect Quality Items Using Association Rule Mining;mandeep,2014

3. Apriori: Association Rule Mining In-depth Explanation and Python Implementation | by Chonyy | Towards Data Science,0

4. Association Rule Mining based on Apriori Algorithm in Minimizing Candidate Generation;abaya;IJSER,0

5. Fast algorithms for mining association rules and sequential patterns;srikant;PhD,1996

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of COVID-19 from Other Upper Respiratory Tract Infections Using Random Undersampling and LIME-based XAI Model;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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