【个人简介】
陈蔚琦，男，博士，讲师，硕士生导师。主要从事机器学习、因果推断、数据挖掘、医学信息等领域的算法设计与应用研究工作。近年来主持广州市科技计划项目1项，在国际知名期刊发表SCI论文十余篇。
【教育背景】
2017/03-2020/03 暨南大学，科研博士后
2009/09-2016/12 广东工业大学自动化学院，工学博士
2004/09-2008/07 广东工业大学应用数学学院，理学学士
【工作经历】
2017-2022：暨南大学管理学院，担任博士后，从事科研工作。
2022-至今：广东技术师范学院计算机科学学院，担任专职教师，从事教学科研工作。
【学科领域】
主要从事机器学习、因果推断、大数据挖掘等领域的算法设计与医学信息领域应用工作。
【主讲课程】
《算法设计与分析》、《大数据技术与应用》
【项目课题】
1. 广州市基础研究计划基础与应用基础研究项目：面向多源异构电子病历的因果知识融合研究，5万元，主持，在研。
2. 国家自然科学基金重大研究计划重点项目：糖尿病P4智能管理及多源异构大数据融合研究，240万元，子课题负责人，结题。
3. 广东省重大科技专项：2型糖尿病大数据智能管理技术研究与应用平台，300万元，参与，结题。
4. 国家自然科学青年项目：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，21万元，参与，结题。
【获奖荣誉】
1. 指导学生参加华为杯研究生数学建模竞赛获得全国二等奖。
【主要成果】
1. Mingyang Zhang, Xiangzhou Zhang, Mingyang Dai, Lijuan Wu, Kang Liu, Hongnian Wang, Weiqi Chen, Mei Liu, and 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 191 (November 2024): 105588. https://doi.org/10.1016/j.ijmedinf.2024.105588. （中科院二区，通讯作者）
2. Yuhao Dong, Lifeng Que, Qianjun Jia, Yue Xi, Jian Zhuang, Jinglei Li, Hui Liu, Weiqi Chen, and Meiping Huang. “Predicting Reintervention after Thoracic Endovascular Aortic Repair of Stanford Type B Aortic Dissection Using Machine Learning.” European Radiology 32, no. 1 (January 2022): 355-367. https://doi.org/10.1007/s00330-021-07849-2. （Top，中科院二区，通讯作者）
3. Kang Liu, Xiangzhou Zhang, Weiqi Chen, Alan S. L. Yu, John A. Kellum, Michael E. Matheny, Steven Q. Simpson, Yong Hu, and Mei Liu. “Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.” JAMA Network Open 5, no. 7 (July 1, 2022): e2219776. https://doi.org/10.1001/jamanetworkopen.2022.19776. （Top，中科院一区，共同一作）
4. Bin Zhang, Jing Yan, Weiqi Chen, Yuhao Dong, Lu Zhang, Xiaokai Mo, Qiuying Chen, et al. “Machine Learning Classifiers for Predicting 3-Year Progression-Free Survival and Overall Survival in Patients with Gliomas after Surgery.” Journal of Cancer 12, no. 6 (2021): 1604-1615. https://doi.org/10.7150/jca.52183. （中科院三区，共同一作）
5. Bin Zhang, Qin Liu, Xiao Zhang, Shuyi Liu, Weiqi Chen, Jingjing You, Qiuying Chen, et al. “Clinical Utility of a Nomogram for Predicting 30-Days Poor Outcome in Hospitalized Patients With COVID-19: Multicenter External Validation and Decision Curve Analysis.” Frontiers in Medicine 7 (December 23, 2020): 590460. https://doi.org/10.3389/fmed.2020.590460. （中科院三区，共同一作）
6. Weiqi Chen, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Kang Liu, Jianqin He, Zilin Tang, Xing Song, Lemuel R. Waitman, and Mei Liu. “Causal Risk Factor Discovery for Severe Acute Kidney Injury Using Electronic Health Records.” BMC Medical Informatics and Decision Making 18, no. S1 (March 2018): 13. ，https://doi.org/10.1186/s12911-018-0597-7. （中科院三区）
7. Weiqi Chen, Zhifeng Hao, Ruichu Cai, Xiangzhou Zhang, Yong Hu, and Mei Liu. “Multiple-Cause Discovery Combined with Structure Learning for High-Dimensional Discrete Data and Application to Stock Prediction.” Soft Computing 20, no. 11 (November 2016): 4575-4588. https://doi.org/10.1007/s00500-015-1764-8. （中科院三区）
8. Xiaoyong Liu, Ziyang Dong, Huihui Li, Jinchang Ren, Huimin Zhao, Hao Li, Weiqi Chen, and Zhanhao Xiao. “H-RNet: Hybrid Relation Network for Few-Shot Learning-Based Hyperspectral Image Classification.” Remote Sensing 15, no. 10 (May 2023): 2497. https://doi.org/10.3390/rs15102497. （中科院二区）
9. Yuliang Gu, Xiangzhou Zhang, Anqi Xu, Weiqi Chen, Kang Liu, Lijuan Wu, Shenglong Mo, Yong Hu, Mei Liu, and Qichao Luo. “Protein–Ligand Binding Affinity Prediction with Edge Awareness and Supervised Attention.” iScience 26, no. 1 (2023): 105892. https://doi.org/10.1016/j.isci.2022.105892. （中科院二区）
10.Lijuan Wu, Yong Hu, Xiangzhou Zhang, Borong Yuan, Weiqi Chen, Kang Liu, and Mei Liu. “Temporal Dynamics of Clinical Risk Predictors for Hospital-Acquired Acute Kidney Injury under Different Forecast Time Windows.” Knowledge-Based Systems 245 (2022): 108655. https://doi.org/10.1016/j.knosys.2022.108655. （Top，中科院二区）
11.Xiangzhou Zhang, Kang Liu, Borong Yuan, Hongnian Wang, Shaoyong Chen, Yunfei Xue, Weiqi Chen, Mei Liu, and Yong Hu. “A Hybrid Adaptive Approach for Instance Transfer Learning with Dynamic and Imbalanced Data.” International Journal of Intelligent Systems 37, no. 12 (December 2022): 11582-11599. https://doi.org/10.1002/int.23055. （中科院二区）
12.Kang Liu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Lav P. Patel, Yong Hu, and Mei Liu. “Characterizing the Temporal Changes in Association between Modifiable Risk Factors and Acute Kidney Injury with Multi-View Analysis.” International Journal of Medical Informatics 163 (2022): 104785. https://doi.org/10.1016/j.ijmedinf.2022.104785. （中科院二区）
13.Xiangzhou Zhang, Yunfei Xue, Xinyu Su, Shaoyong Chen, Kang Liu, Weiqi Chen, Mei Liu, and Yong Hu. “A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study.” JMIR MEDICAL INFORMATICS 10, no. 11 (2022): e38053. https://doi.org/10.2196/38053. （中科院三区）
14.Lijuan Wu, Yong Hu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Kang Liu, and Mei Liu. “Which Risk Predictors Are More Likely to Indicate Severe AKI in Hospitalized Patients?” International Journal of Medical Informatics 143 (2020): 104270. https://doi.org/10.1016/j.ijmedinf.2020.104270. （中科院二区）
15.Lijuan Wu, Yong Hu, Xiangzhou Zhang, Weiqi Chen, Alan S. L. Yu, John A. Kellum, Lemuel R. Waitman, and Mei Liu. “Changing Relative Risk of Clinical Factors for Hospital-Acquired Acute Kidney Injury across Age Groups: A Retrospective Cohort Study.” BMC Nephrology 21, no. 1 (August 2, 2020): 321. https://doi.org/10.1186/s12882-020-01980-w. （中科院四区）
16.Bin Zhang, Minmin Li, Wenhui Chen, Jianfu Zhao, Weiqi Chen, Yuhao Dong, Xiao Gong, et al. “Association of Chemoradiotherapy Regimens and Survival Among Patients With Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis.” JAMA Network Open 2, no. 10 (October 18, 2019): e1913619. https://doi.org/10.1001/jamanetworkopen.2019.13619. （Top，中科院一区）
17.Wu, Lijuan, Yong Hu, Xiaoxiao Liu, Xiangzhou Zhang, Weiqi Chen, Alan S. L. Yu, John A. Kellum, Lemuel R. Waitman, and Mei Liu. “Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury.” Scientific Reports 8, no. 1 (November 23, 2018): 17298. https://doi.org/10.1038/s41598-018-35487-0. （中科院二区）
18.Hu, Yong, Kang Liu, Xiangzhou Zhang, Kang Xie, Weiqi Chen, Yuran Zeng, and Mei Liu. “Concept Drift Mining of Portfolio Selection Factors in Stock Market.” Electronic Commerce Research and Applications 14, no. 6 (2015): 444-455. https://doi.org/10.1016/j.elerap.2015.06.002. （中科院三区）
【联系方式】
邮箱：chenwqi@foxmail.com
