个人简介

2008.09--2012.06 周口师范学院数学与应用数学专业本科

2012.09--2014.02 重庆大学运筹学与控制论专业硕士研究生

2014.03--2016.12 重庆大学应用经济学专业博士

2017.03--2022.09 暨南大学大数据决策研究所讲师

2022.09--至今 广东省人民医院医学研究部副研究员

研究方向

医疗健康大数据智能分析与挖掘研究（偏向急危重症方向）

代表性论著

1. Lijuan Wu#, Liyi Mai#, Hongnian Wang#, Jinxin Huang, Xinrong He, Xueyun Zhan, Anna Khalemsky, Vijaya Arun Kumar, James H. Paxton, Dionyssios Tsilimingras, Said Hachimi-Idrissi, Liu Shan W, Gabriele Savioli, Niels K. Rathlev, Karim Tazarourte, Anna Slagman, Michael Christ, Muhammad Qureshi, Hani Hariri, Shamai A. Grossman, Bei Hu, Huajun Wang, Binbin He, Phillip D. Levy, Brian J. O’Neil, Seth Gemme, Lisa Kurland, Eddy Lang, Jinle Lin*, Huiying Liang*, Xin Li*, Abdelouahab Bellou*. Artificial Intelligence-Powered Tiered Early Warning Framework Addressing High False Alarm Rates for In-Hospital Mortality Prediction. npj Digital Medicine, 2026.

2. Wenwu Zhang#; Lijuan Wu#; Xinrong He#; Jizhe Xia#; Jun Xu#; Can Ma; Liyi Mai; Jinxin Huang; Xueyun Zhan; Guohua Yin; Hanhan Hu; Conghua Wang; Yujie Li; Qingli Dou; Abdelouahab Bellou*; Jinle Lin*; Xin Li*. Enhancing out-of-hospital cardiac arrest survival in China through the 5-minute social rescue circle implementation. Resuscitation, 2025, doi: https://doi.org/ 10.1016/j.resuscitation.2025.110694

3. Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu. An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records. BMC Medical Informatics and Decision Making 25, 84 (2025).

4. 王瑞瑞,吴利娟,李惠先,李欣. 基于机器学习的糖尿病酮症酸中毒患者个性化血糖管理研究[J]. 中华危重病急救医学, 2024, 36(06)：635-642.

5. Mingyang Zhang, Xiangzhou Zhang, Mingyang Dai, Lijuan Wu, Kang Liu, Hongnian Wang, Weiqi Chen, Mei Liu, Yong Hu. Development and validation of a multi-causal investigation and discovery framework for knowledge harmonization (MINDMerge): A case study with acute kidney injury risk factor discovery using electronic medical records. International Journal of Medical Informatics, 2024, 191: 105588.

6. Lijuan Wu#*, Yanqin Li#, Xiangzhou Zhang#, Xuanhui Chen, Deyang Li, Sheng Nie*, Xin Li*, Abdelouahab Bellou*. Prediction differences and implications of acute kidney injury with and without urine output criteria in adult critically ill patients. Nephrology Dialysis Transplantation, 2023, 38(10): 2368-2378.

7. Yuliang Gu, Xiangzhou Zhang, Anqi Xu, Weiqi Chen, Kang Liu, Lijuan Wu, Shenglong Mo, Yong Hu*, Mei Liu*, Qichao Luo*. Protein--Ligand Binding Affinity Prediction with Edge Awareness and Supervised Attention. iScience, 2023, 26(1): 105892.

8. Lijuan Wu#, Xuanhui Chen#, Anna Khalemsky; Deyang Li, aoufik Zoubeidi, Dominique Lauque, Mohammed Alsabri, Zoubir Boudi, Vijaya Arun Kumar, James Paxton, Dionyssios Tsilimingras, Lisa Kurland, David Schwartz, Said Hachimi-Idrissi, Carlos A. Camargo, Jr., Shan W. Liu, Gabriele Savioli, Geroge Intas, Kapil Dev Soni, Detajin Junhasavasdikul, Jose Javier Trujillano Cabello, Niels K. Rathlev, Karim Tazarourte, Anna Slagman, Michael Christ, Adam J. Singer, Eddy Lang, Giovanni Ricevuti, Xin Li*, Huiying Liang*, Shamai A. Grossman*, Abdelouahab Bellou*. The Association between Emergency Department Length of Stay and In-Hospital Mortality in Older Patients Using Machine Learning: An Observational Cohort Study. Journal of Clinical Medicine, 2023, 12(14): 4750.

9. Lijuan Wu*, Yong Hu*, Xiangzhou Zhang, Borong Yuan, Weiqi Chen, Kang Liu, Mei Liu*. Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows. Knowledge-Based Systems, 2022, 245: 108655.

10. Lijuan Wu*, Yong Hu*, Xiangzhou Zhang, Jia Zhang, Mei Liu*. Development of a knowledge mining approach to uncover heterogeneous risk predictors of acute kidney injury across age groups. International Journal of Medical Informatics, 2022, 158:104661.

代表性课题

1. 国家重点研发计划政府间重点项目，2024.04-2027.03，200万元，在研，参与

2. 国家自然科学基金重大研究计划重点项目，2018.01-2021.12，240万元，结题，参与

3. 国家自然科学基金青年科学基金项目，2019.01.01-2021.12.31, 21万元，结题，主持

4. 广东省自然科学基金面上项目，2024.01-2026.12, 15万元, 在研, 主持

5. 广东省医学科研基金项目，2024.07-2026.06，1万元，在研，主持

6. 广州市基础与应用基础研究项目，2021.03-2023.03，5万元，结题，主持

7. 中央高校科研培育与创新基金研究项目，2018.01-2020.12，15 万，结题, 主持

学术任职

1. 广东省生物统计学会临床研究分会，委员

执教课程（课程及教材建设）

1. 医学统计学