Prediction of Disease Progression of COVID-19 Based upon Machine Learning

Author:

Xu Fumin,Chen Xiao,Yin Xinru,Qiu Qiu,Xiao Jingjing,Qiao Liang,He Mi,Tang Liang,Li Xiawei,Zhang Qiao,Lv Yanling,Xiao Shili,Zhao Rong,Guo Yan,Chen MingshengORCID,Chen Dongfeng,Wen Liangzhi,Wang Bin,Nian Yongjian,Liu KaijunORCID

Publisher

Informa UK Limited

Subject

General Medicine

Cited by 7 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. Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach;Intelligent Decision Technologies;2023-11-20

2. AI based Clinical Analysis of COVID-19 Infected Patients;The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19;2023-11-05

3. Artificial Intelligence and Infectious Disease Imaging;The Journal of Infectious Diseases;2023-10-01

4. Recent advancement in integrating artificial intelligence and information technology with real‐world data for clinical decision‐making in China: A scoping review;Journal of Evidence-Based Medicine;2023-09-29

5. Prediction of COVID-19 using Hybrid Voting Classifier;2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3);2023-06-08

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