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Yun Zhang

University of Electronic Science and Technology of China (UESTC) - Knowledge and Data Engineering Laboratory of Chinese Medicine

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Scholarly Papers (1)

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Predicting In-Hospital Outcomes of Patients with Acute Kidney Injury

Number of pages: 34 Posted: 05 Dec 2022
University of Electronic Science and Technology of China (UESTC) - Department of Nephrology, University of Electronic Science and Technology of China (UESTC) - Knowledge and Data Engineering Laboratory of Chinese Medicine, Southern Medical University - National Clinical Research Center for Kidney Disease, University of Electronic Science and Technology of China (UESTC) - Department of Nephrology, Southeast University - Institute of Nephrology, Guangdong Medical University - Institute of Nephrology, Sun Yat-sen University (SYSU) - Sun Yat-sen Memorial Hospital, Zhejiang University - Sir Run Run Shaw Hospital, Huazhong University of Science and Technology - Department of Nephrology, University of Science and Technology of China (USTC) - Division of Life Sciences and Medicine, Government of the People's Republic of China - Department of Nephrology, Shenzhen University - Shenzhen Second People's Hospital, Guizhou Provincial People's Hospital, Maoming People’s Hospital, Fudan University - Children's Hospital of Fudan University, Zhejiang University - Second Affiliated Hospital, Huizhou Municipal Central Hospital, Capital Medical University - Department of Nephrology, affiliation not provided to SSRN, Guangzhou University of Chinese Medicine - Second Affiliated Hospital, Southern Medical University - Third Affiliated Hospital, Southern Medical University - Health Management Institute, University of Electronic Science and Technology of China (UESTC) - Department of Nephrology, Southern Medical University - National Clinical Research Center of Kidney Disease, University of Electronic Science and Technology of China (UESTC) - School of Information and Software Engineering and University of Electronic Science and Technology of China (UESTC) - Department of Nephrology
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Abstract:

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Acute kidney injury, Deep learning, Prediction, Mortality