Shengqiang Chi

According to our database, Shengqiang Chi authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

2024

Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks.

Yang Zhang, Ting Yu, Shengqiang Chi, Zhen Wang, Yue Gao, Ji Zhang, Tianshu Zhou

ACM Trans. Knowl. Discov. Data, September, 2024

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, Tianshu Zhou, Jingsong Li

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

A Hemodialysis Mortality Prediction Model Based on Active Contrastive Learning.

Feng Wang, Shengqiang Chi, Xueyao Li, Hang Zhang, Jingsong Li

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 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

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Temporal Phenotyping for End-Stage Renal Disease Using Longitudinal Electronic Health Records.

Shengqiang Chi, Feng Wang, Xueyao Li, Minghong Xu, Jingsong Li

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models.

Shengqiang Chi, Yu Tian, Feng Wang, Tianshu Zhou, Shan Jin, Jingsong Li

Artif. Intell. Medicine, 2022

2021

Deep Semisupervised Multitask Learning Model and Its Interpretability for Survival Analysis.

Shengqiang Chi, Yu Tian, Feng Wang, Yu Wang, Ming Chen, Jingsong Li

IEEE J. Biomed. Health Informatics, 2021

2019

Semi-supervised learning to improve generalizability of risk prediction models.

Shengqiang Chi, Xinhang Li, Yu Tian, Jun Li, Xiang-Xing Kong, Ke-Feng Ding, Chunhua Weng, Jing-Song Li

J. Biomed. Informatics, 2019

2018

POPCORN: A web service for individual PrognOsis prediction based on multi-center clinical data CollabORatioN without patient-level data sharing.

Yu Tian, Yong Shang, Dan-Yang Tong, Shengqiang Chi, Jun Li, Xiang-Xing Kong, Ke-Feng Ding, Jing-Song Li

J. Biomed. Informatics, 2018

2017

A Study on Data-Driven Novel Cancer Staging Methods.

Yuan Gao, Yu Tian, Shengqiang Chi, Yao Lu, Xinhang Li, Tianshu Zhou, Jing-song Li

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017