吴利娟

姓名：吴利娟

职称：副研究员

联系邮箱：wulijuan@gdph.org.cn

v 学习经历

2008.9--2012.6 周口师范学院，数学与应用数学专业，学士

2012.9--2014.2 重庆大学，运筹学与控制论专业，硕士

2014.3--2016.12 重庆大学，应用经济学专业，博士

v 工作经历

2017.3--2022.9 暨南大学，大数据决策研究所，讲师

2022.9--至今 广东省人民医院，基础医学研究中心，副研究员

v 研究方向

面向生命与健康科学的人工智能、医疗健康大数据智能分析与挖掘研究（偏向急危重症方向）

v 招生方向

v 主要学术任职

1. 广东省生物统计学会临床研究分会，委员

v 主要科研课题

1. 国家重点研发计划政府间重点项目，2023YFE0114300，中-阿急诊医学联合实验室，  2024.04-2027.03，200万元，参与

2. 国家自然科学基金重大研究计划重点项目，91746204，糖尿病P4 智能管理及多源异构大数据融合研究，2018.01-2021.12，240万元，参与

3. 国家自然科学基金青年科学基金项目，61802149，面向糖尿病电子病历大数据的可解释性时序信息挖掘研究，2019.01.01-2021.12.31, 21万元，主持

4. 广东省自然科学基金面上项目，2024A1515012112，基于临床多源时序信息的急性肾损伤患者风险画像挖掘研究，2024.01-2026.12，15万元，主持

5. 广东省医学科研基金项目，A2024044，基于图神经网络构建急性肾损伤患者的风险分层预警模型研究，2024.07-2026.06，6万元，主持

6. 广州市基础与应用基础研究项目，202102020863，面向电子病历时序信息的个性化与可解释预测研究，2021.03-2023.03，5万元，主持

7. 中央高校科研培育与创新基金研究项目，21618315，面向糖尿病电子病历的个性化时序信息挖掘与预测研究，2018.01-2020.12，15 万，主持

v 代表性论文（2022年-2026年）

[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.  (中科院一区SCI, Top, IF=15.1)

[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, 2026, 221: 110694. (共同第一作者，中科院一区SCI, Top)

[3] 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. (中科院一区SCI, Top, IF=8.1)

[4] 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, 2025, 25: 84.  (通讯作者，中科院三区SCI)

[5] Guohua Cao, Lijuan Wu*. Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting. Energy, 2016, 115:734-745. (通讯作者，中科院一区Top, SCI)

[6] Lijuan Wu, Guohua Cao. Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow. Knowledge-Based Systems, 2016, 110: 157-166. (中科院一区Top, SCI)

[7] 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. (中科院二区SCI)

[8] 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. (中科院二区 SCI, Top )

[9] Lijuan Wu^#, Xuanhui Chen, Anna Khalemsky; et al. 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. (中科院二区SCI)

[10] Lijuan Wu, Yong Hu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Kang Liu, Mei Liu. Which risk predictors are more likely to indicate severe AKI in hospitalized patients? International Journal of Medical Informatics, 2020, 143: 104270. (中科院二区SCI)

[11] Lijuan Wu, Yong Hu, Xiangzhou Zhang, Weiqi Chen, Alan S. L. Yu, John A. Kellum, Lemuel R. Waitman, Mei Liu. Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study. BMC Nephrology, 2020, 21: 321. (中科院三区 SCI)

[12] Shuangling Zhao, Guohua Cao, and Lijuan Wu*. Tangible and Intangible Investment in Corporate Finance. North American Journal of Economics and Finance, 2019, 50: 100991. (通讯作者，SSCI二区)

[13] Lijuan Wu, Guohua Cao. Research on R&D investment decision making under uncertainty of technology and price. Systems Engineering-Theory & Practice, 20217，37: 1720-1726. (EI)

[14] Lijuan Wu, Yong Hu, Xiaoxiao Liu, Xiangzhou Zhang, Weiqi Chen, Alan S. L. Yu, John A. Kellum, Lemuel R. Waitman, Mei Liu. Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury. Scientific Reports, 2018, 8(1): 17298. (中科院三区 SCI)

[15] 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. (中文核心期刊)

[16] 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. (中科院二区SCI)

[17] 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. (中科院二区SCI)