Li Jin

Li Jin

Li Jin is a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. He graduated from Xiamen University with a bachelor’s degree and a Ph.D. from the School of Biomedical Engineering and Instrument Science, Zhejiang University. He presided over the Youth Project of the National Natural Science Foundation of China and participated in many projects such as the National Natural Science Foundation of China, major scientific research projects of Zhijiang Laboratory, and the British NIHR scientific research projects. During the doctoral stage, he was selected into the “Zhejiang University Doctoral Graduate Academic Rising Star Program” and won honors such as Zhejiang University’s outstanding graduate students. In 2021, funded by the China Scholarship Council (CSC), he will go to the University of Oxford in the UK for joint training. The main research directions are: electronic medical record (EHR) data mining based on machine learning; clinical decision support based on graph models and large language models. Mainly committed to applying medical artificial intelligence methods to: 1) clinical intelligent decision-making; 2) patient prognosis risk assessment; 3) intelligent prevention, diagnosis and treatment of diseases, etc., so as to assist the role and value of medical big data in clinical practice.

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

Representative papers:

[1] Jin Li , Benjamin J. Cairns, Jingsong Li*, Tingting Zhu*. Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications[J]. NPJ Digital Medicine , 2023, 6(1): 98. (IF=15.357)

[2] Jin Li , Yu Tian, Runze Li, Tianshu Zhou, Jun Li, Kefeng Ding, Jingsong Li*. Improving prediction for medical institution with limited patient data: Leveraging hospital-specific data based on multicenter collaborative research network[J]. Artificial Intelligence in Medicine , 2021, 113: 102024. (IF=7.011)


Translated from the original Chinese source.

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