张明阳

张明阳

发布时间:2023-05-22浏览次数:1633

姓名:张明阳

学历:博士研究生

职称/职务:讲师(硕士生导师)、教学秘书

研究领域:EMR数据挖掘、人工智能机器学习、数智健康、慢病管理

电子邮箱:zmy1021@qq.com


学习及工作背景

2015.9-2018.7 暨南大学理学硕士

2019.9-2024.7 暨南大学管理学博士

2024.9- 至今  河南师范大学

所授课程

基层社区治理、计算社会学、人工智能与社会工作、社会政策与公共卫生服务

科研论文(著作)

1. Zhang M, Wang H, Zhao J, et al. Clustering-based federated causal discovery for multicenter clinical data analysis[J]. Journal of Biomedical Informatics, 2026: 105066. (中科院SCI 2区, JCR Q2,IF=5.9)

2. Zhang M, Zhang X, Dai M. et al. 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[J]. International Journal of Medical Informatics, 2024, 191: 105588.(SCI 2区,JCR Q1,IF=5.0)

3. Wang, H., Zhang, M. et al. Rheumatoid arthritis burden in 129 low and middle income countries from 1990 to 2023[J].iScience,2026,06. (中科院SCI 2区,JCR Q1, IF=4.5)

4. Zhao J, Zhang M, Wang H. Identifying risk factors and predicting stroke using Bayesian networks: Evidence from NHANES 2011-2020[J]. Digital Health. 2026,12:20552076261434648. (中科院SCI/SSCI 3区,JCR Q1, IF=3.9)

5. Wang, H., Zhang, M. et al. An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records[J]. BMC Medical Informatics and Decision Making, 25, 84 (2025).  (SCI 3区,JCR Q2,IF=5.5)

6. Zhang M, Wang H, Zhao J. Use machine learning models to identify and assess risk factors for coronary artery disease[J]. Plos one, 2024, 19(9): e0307952. (SCI 3区,JCR Q2,IF=2.9)

7. Zhang M, Chen P, Sung S H. Convergence rates in the weak law of large numbers for weighted sums of iid random variables and applications in errors-in-variables models[J]. Stochastics and Dynamics, 2019, 19(06): 1950041. (SCI 4区,JCR Q3,IF=0.6)

8. Chen P, Zhang M. et al. The Davis-Gut law for independent and identically distributed Banach space valued random elements[J]. Glasnik Matematicki, 2017, 52(2): 351-360.( SCI 4区,JCR Q3, IF= 0.4)


科研项目与奖励

1.国家自然科学基金面上项目“P4 智能医疗的多中心学习与集成决策支持研究”(参与)

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”(参与)

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”(参与)

4.河南省教育厅高校人文社科项目“数智赋能下卒中患者抑郁风险的影响因素、作用机制与分层管理研究”(主持)


社会服务

CNKI评审专家库专家,Scientific Reports,BMC Pregnancy and Childbirth,BMC Pediatrics 等知名SCI期刊同行评审人。