A Machine Learning Approach to Predict Renal Diseases with SARS-CoV-2-Reference-Cited by-同舟云学术

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A Machine Learning Approach to Predict Renal Diseases with SARS-CoV-2

Published:2021-12-21 Issue: Volume: Page:
ISSN:
Container-title:2021 Emerging Technology in Computing, Communication and Electronics (ETCCE)
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Author:

Mahmood Md. Ashiq,Lata Priti

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9689774/9689790/09689894.pdf?arnumber=9689894

Reference19 articles.

1. Using GWAS SNPs to Determine Association between COVID-19 and Comorbid Diseases

2. Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access

3. Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit

4. Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods

5. An Efficient Approach to Identify Economic Crisis During COVID-19 Outbreaks Utilizing Data Mining (May 25, 2021);roy;International Journal of Computer Network and Information Security,2017

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. Literature Review On Metaheuristics Techniques In The Health Care Industry;2023 12th Mediterranean Conference on Embedded Computing (MECO);2023-06-06

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