
近年主持的科研项目:
1. 2024.8—2024.11 上海市统计局“基于混频动态因子模型的周度经济指数(WEI)研究”;
2. 2023.8—2023.11 决策咨询研究统计调查专项基金项目 “大数据算法在政府统计中的应用路径研究”;
3. 2016.7—2019.7 上海市科委“基于大数据的新媒体广告策略优化关键技术研究子课题2”;
4. 2017.6-2017.6 上海市科委“基于Wi-Fi的大数据分析关键技术研究及应用系统开发子课题3”;
主要科研论文:
1. 李艳红,任俊宇,孙希文等. AI辅助肺结节诊断的可视化知识图谱分析. 中国医学计算机成像杂志,2023,29(5):505-510.
2. Miao Chen, Liya Zhou, Limin Fan, Yanhong Li, Hairong Wang. Prognostic prediction of thrombolytic therapy with rt-PA in acute ischemic stroke patients using an artificial intelligence model. Am J Transl Res,Vol 15,No 7, 2023,pp4735-4745.
3. Songqiao Han, Hailiang Huang, Xiaohong Huang, Yanhong Li, Ruihua Yu & Jun Zhang.Core patent forecasting based on graph neural networks with an application in stock markets, Technology Analysis & Strategic Management, 2022.
4. Hailiang Huang,Yanhong Li,Yingying Zhang. Investors’ attention and overpricing of IPO: an empirical study on China’s growth enterprise market. Information Systems and e-Business Management, Vol 16, No 4, 2018,pp761–774.
5. Hui Fang, Hailiang Huang, Gujie Li, and Yanhong Li. Learning from Mistakes: Constructing and Mining Misdiagnosis Database to Reduce Cognitive Error. In Proceedings of the 39th International Conference on Information Systems (ICIS), 2018.
6. Li Yanhong, Song Anmeng, Wang Jingling. A Survey of Current Work in Medical Text Mining--Data Source Perspective. International Journal of Biomedical Science and Engineering. Vol 5, No 3, 2017, pp 29-34.
7. Yanhong Li, Pengyu Duan, Agility Metric Model for Enterprise Information System. Computer Science Applications and Education, Vol 3, No 2 , 2013,pp518-524.
8. Yangchun, Li Yanhong. Research on Consumer’s Intention of Group-buying Online. Intelligent Information Management Systems and Technologies, Vol 9, No 2, 2013,pp151-160.
9. David L. Olson,Yanhong Li. Mining fuzzy weighted association rules. The 40th Hawaii International Conference on System Sciences(HICSS)at Hilton Waikoloa Village on Hawaii January 3-6, 2007.
10. Yanhong Li, David L. Olson, Zheng Qin. Similarity measures between intuitionistic fuzzy sets (vague) sets: A comparative analysis. Pattern Recognition Letters. Vol 28, No 2, 2007, pp278-285.