Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods-Reference-Cited by-同舟云学术

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

Published:2021 Issue: Volume:9 Page:17787-17802
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ye Hua^ORCID,Wu Peiliang^ORCID,Zhu Tianru,Xiao Zhongxiang,Zhang Xie,Zheng Long,Zheng Rongwei,Sun Yangjie,Zhou Weilong,Fu Qinlei,Ye Xinxin,Chen Ali,Zheng Shuang,Heidari Ali Asghar^ORCID,Wang Mingjing^ORCID,Zhu Jiandong,Chen Huiling^ORCID,Li Jifa^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09328426.pdf?arnumber=9328426

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2. EFS-XGBoost: A robust framework for precision classification of COVID-19 cases;Intelligent Data Analysis;2024-04-28

3. A Review of Machine Learning Algorithms for Biomedical Applications;Annals of Biomedical Engineering;2024-02-21

4. Advanced Seizure Prediction System for Wearable Health Management Devices using KNN Algorithm;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21

5. Random forest regression for prediction of Covid-19 daily cases and deaths in Turkey;Heliyon;2024-02

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