团队: 应用统计和数据科学
办公室: A3-3-104
邮箱: zhangshuaijie@bimsa.cn
研究方向: 生物统计学，因果推断，可解释机器学习，电子健康记录分析，疾病预测与干预
研究兴趣
- 基于大规模因果网络的疾病动态预测与干预
- 医学统计学
教育经历
- 2020 - 2025 山东大学公共卫生学院 生物统计学 博士 (Supervisor: 薛付忠)
出版物
- [1] Y Yu, S Zhang, H Li, F Xue, A bayesian network model for neurocognitive disorders digital screening in Chinese population: development and validation study, BMC psychiatry, 25(1), 760 (2025)
- [2] S Zhang, Q Wang, X Hu, B Zhang, S Sun, Y Yuan, X Jia, Y Yu, F Xue, Interpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing data, NPJ Digital Medicine, 7(1), 327 (2024)
- [3] S Zhang, F Yang, L Wang, S Si, J Zhang, F Xue, Personalized prediction for multiple chronic diseases by developing the multi-task Cox learning model, PLoS Computational Biology, 19(9), e1011396 (2023)
- [4] F Yang, S Zhang, W Pan, R Yao, W Zhang, Y Zhang, G Wang, Q Zhang, ..., Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method, Briefings in Bioinformatics, 23(5), bbac124 (2022)
更新时间: 2025-11-15 17:00:12