| Title | Visualization Analysis and XGBoost-Based Prediction of COVID-19 Mortality |
| Author | |
| DOI | |
| Publication Years | 2023
|
| ISBN | 979-8-3503-1468-7
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| Source Title | |
| Pages | 70-74
|
| Conference Date | 11-13 Aug. 2023
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| Conference Place | Changchun, China
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| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10257874 |
| Citation statistics | |
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/582707 |
| Affiliation | 1.School of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China 2.School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China 3.School of Software Engineering, Shandong University, Jinan, Shandong, China |
| First Author Affilication | Southern University of Science and Technology |
| First Author's First Affilication | Southern University of Science and Technology |
| Recommended Citation GB/T 7714 |
Zixin Chen,Chujing Zhang,Ngating Chun. Visualization Analysis and XGBoost-Based Prediction of COVID-19 Mortality[C],2023:70-74.
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| Files in This Item: | There are no files associated with this item. | |||||
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