Zeng Xian

Zeng Xian, Ph.D., is a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He graduated from Huazhong University of Science and Technology with a bachelor’s degree in 2016 and a doctorate from Zhejiang University in 2022. The research direction is clinical big data-driven medical clinical intelligent decision-making auxiliary methods, which mainly include congenital heart disease risk warning and prognosis analysis, patient similarity analysis based on electronic medical records, etc. Currently, he has published 6 SCI papers as the first author or co-first author, including JAMIA (IF=7.9), the top journal in the field of medical informatics, and Scientific Data (5-year IF=11.2), the flagship data journal of the Nature series.

For more information, please visit my personal homepage: http://faculty.nuist.edu.cn/cengxian/zh_CN/index.htm

Representative papers

(1) Xian Zeng , Shanshan Shi, Yuhan Sun, et al. A time-aware attention model for prediction of acute kidney injury after pediatric cardiac surgery. Journal of the American Medical Informatics Association. 2023, 30(1):94-102.

(2) Xian Zeng , Gang Yu, Yang Lu, et al. PIC, a paediatric-specific intensive care database. Scientific Data. 2020; 7:14.

(3) Xian Zeng , Zheng Jia, Haomin Li, et al. Measure clinical drug-drug similarity using Electronic Medical Records. International Journal of Medical Informatics. 2019; 124:97-103.

(4) Xian Zeng , Jiye An, Ru Lin, et al. Prediction of complications after paediatric cardiac surgery. Eur J Cardiothorac Surg. 2020; 57(2):350-358.

Translated from the original Chinese source.