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2020 – today
- 2024
[j5]Yang Zhang
, Ting Yu, Shengqiang Chi, Zhen Wang, Yue Gao, Ji Zhang, Tianshu Zhou:
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks. ACM Trans. Knowl. Discov. Data 18(8): 196:1-196:24 (2024)- 2023
- [c6]Shengqiang Chi, Tianshu Zhou, Weiwei Zhu, Xueyao Li, Jingsong Li:
A Knowledge-based and Data-driven Approach for Predicting Acute Kidney Injury in Patients with Heart Failure. EMBC 2023: 1-4 - [c5]Shengqiang Chi, Feng Wang, Xueyao Li, Minghong Xu, Jingsong Li:
Temporal Phenotyping for End-Stage Renal Disease Using Longitudinal Electronic Health Records. MedInfo 2023: 264-268 - [c4]Feng Wang, Shengqiang Chi, Xueyao Li, Hang Zhang, Jingsong Li:
A Hemodialysis Mortality Prediction Model Based on Active Contrastive Learning. MedInfo 2023: 720-724 - [c3]Shengqiang Chi, Yuqing Wang, Ying Zhang, Weiwei Zhu, Jingsong Li:
Graph Neural Network Based Multi-Label Hierarchical Classification for Disease Predictions in General Practice. MedInfo 2023: 725-729 - [c2]Ying Zhang, Yuqing Wang, Shengqiang Chi, Hua Ru, Yifan Jiang, Yu Tian, Tianshu Zhou, Jingsong Li:
Design and Application of Multi-Center Clinical Research Platform for Phenotyping of Voriconazole Hepatotoxicity. MedInfo 2023: 1482-1483 - 2022
- [j4]Shengqiang Chi, Yu Tian, Feng Wang, Tianshu Zhou, Shan Jin, Jingsong Li:
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models. Artif. Intell. Medicine 125: 102256 (2022) - 2021
- [j3]Shengqiang Chi, Yu Tian, Feng Wang, Yu Wang, Ming Chen, Jingsong Li:
Deep Semisupervised Multitask Learning Model and Its Interpretability for Survival Analysis. IEEE J. Biomed. Health Informatics 25(8): 3185-3196 (2021)
2010 – 2019
- 2019
- [j2]Shengqiang Chi, Xinhang Li, Yu Tian, Jun Li, Xiang-Xing Kong, Ke-Feng Ding, Chunhua Weng, Jing-Song Li:
Semi-supervised learning to improve generalizability of risk prediction models. J. Biomed. Informatics 92 (2019) - 2018
- [j1]Yu Tian, Yong Shang, Dan-Yang Tong, Shengqiang Chi, Jun Li, Xiang-Xing Kong, Ke-Feng Ding, Jing-Song Li:
POPCORN: A web service for individual PrognOsis prediction based on multi-center clinical data CollabORatioN without patient-level data sharing. J. Biomed. Informatics 86: 1-14 (2018) - 2017
- [c1]Yuan Gao, Yu Tian, Shengqiang Chi, Yao Lu, Xinhang Li, Tianshu Zhou, Jing-song Li:
A Study on Data-Driven Novel Cancer Staging Methods. MedInfo 2017: 1263
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