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ORCIDXun Gong 0010
Person information
- affiliation: Central South University, Second Xiangya Hospital, Department of Emergency Medicine, Changsha, China
Other persons with the same name
- Xun Gong — disambiguation page
- Xun Gong 0001 — Google Security & Privacy, Safe Browsing team, Mountain View, CA, USA (and 1 more)
- Xun Gong 0002
![[0000-0002-1494-0955]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1494-0955")
— Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China (and 4 more) - Xun Gong 0003 — University of New Brunswick, Department of Electrical and Computer Engineering, Fredericton, NB, Canada
- Xun Gong 0004 — University of Central Florida, Department of Electrical and Computer Engineering, Orlando, FL, USA (and 1 more)
- Xun Gong 0005 — Shanghai Jiao Tong University, X-LANCE, Department of Computer Science and Engineering, MoE Key Laboratory of Artificial Intelligence, Shanghai, China
- Xun Gong 0006 — Sichuan University, Department of Computer Science and Technology, Chengdu, China
- Xun Gong 0007 — Jilin University, School of Artificial Intelligence, Changchun, China (and 2 more)
- Xun Gong 0008 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Xun Gong 0009 — Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Research Institute of Information Technology, Beijing, China
- Xun Gong 0011 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- Xun Gong 0012 — Heilongjiang Bayi Agricultural University, Daqing, China
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2020 – today
- 2022
[j2]Zhixuan Zeng, Xianming Tang, Yang Liu, Zhengkun He, Xun Gong:
Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit. BioData Min. 15(1) (2022)- 2021
- [j1]Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong:
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis. BioData Min. 14(1) (2021)
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