A Study on Data-Driven Novel Cancer Staging Methods. - Yuan Gao; Yu Tian 002; Shengqiang Chi; Yao Lu; Xinhang Li; Tianshu Zhou; Jing-song Li 001 (MedInfo, 2017)

POPCORN: A web service for individual PrognOsis prediction based on multi-center clinical data CollabORatioN without patient-level data sharing. - Yu Tian 002; Yong Shang; Dan-Yang Tong; Shengqiang Chi; Jun Li 099; Xiang-Xing Kong; Ke-Feng Ding; Jing-Song Li 001 (J. Biomed. Informatics, 2018)

Semi-supervised learning to improve generalizability of risk prediction models. - Shengqiang Chi; Xinhang Li; Yu Tian 002; Jun Li 099; Xiang-Xing Kong; Ke-Feng Ding; Chunhua Weng; Jing-Song Li 001 (J. Biomed. Informatics, 2019)

Deep Semisupervised Multitask Learning Model and Its Interpretability for Survival Analysis. - Shengqiang Chi; Yu Tian 002; Feng Wang 035; Yu Wang 146; Ming Chen; Jingsong Li 001 (IEEE J. Biomed. Health Informatics, 2021)

A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models. - Shengqiang Chi; Yu Tian 002; Feng Wang 035; Tianshu Zhou; Shan Jin; Jingsong Li 001 (Artif. Intell. Medicine, 2022)

A Knowledge-based and Data-driven Approach for Predicting Acute Kidney Injury in Patients with Heart Failure. - Shengqiang Chi; Tianshu Zhou; Weiwei Zhu; Xueyao Li; Jingsong Li 001 (EMBC, 2023)

Temporal Phenotyping for End-Stage Renal Disease Using Longitudinal Electronic Health Records. - Shengqiang Chi; Feng Wang 035; Xueyao Li; Minghong Xu; Jingsong Li 001 (MedInfo, 2023)

Graph Neural Network Based Multi-Label Hierarchical Classification for Disease Predictions in General Practice. - Shengqiang Chi; Yuqing Wang; Ying Zhang; Weiwei Zhu; Jingsong Li 001 (MedInfo, 2023)

A Hemodialysis Mortality Prediction Model Based on Active Contrastive Learning. - Feng Wang 035; Shengqiang Chi; Xueyao Li; Hang Zhang; Jingsong Li 001 (MedInfo, 2023)

Design and Application of Multi-Center Clinical Research Platform for Phenotyping of Voriconazole Hepatotoxicity. - Ying Zhang; Yuqing Wang; Shengqiang Chi; Hua Ru; Yifan Jiang; Yu Tian 002; Tianshu Zhou; Jingsong Li 001 (MedInfo, 2023)

Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks. - Yang Zhang 042; Ting Yu 004; Shengqiang Chi; Zhen Wang 037; Yue Gao 002; Ji Zhang 001; Tianshu Zhou (ACM Trans. Knowl. Discov. Data, 2024)

Comparison of machine learning and logistic regression models for predicting emergence delirium in elderly patients: A prospective study. - Yufan Lu; Ying Li; Shengqiang Chi; Yan Feng; Gaowei Li; Xuezheng Lin; Jie Jin; Ying Wang (Int. J. Medical Informatics, 2025)