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Shengqiang Chi

Showing results (1-10 of 16) with videos related to

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Studies in Health Technology and Informatics|January 25, 2024
A Hemodialysis Mortality Prediction Model Based on Active Contrastive LearningFeng Wang, Shengqiang Chi, Xueyao Li, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A Knowledge-based and Data-driven Approach for Predicting Acute Kidney Injury in Patients with Heart Failure<sup></sup>Shengqiang Chi, Tianshu Zhou, Weiwei Zhu, et al.
Studies in Health Technology and Informatics|January 25, 2024
Graph Neural Network Based Multi-Label Hierarchical Classification for Disease Predictions in General PracticeShengqiang Chi, Yuqing Wang, Ying Zhang, et al.
Studies in Health Technology and Informatics|January 25, 2024
Temporal Phenotyping for End-Stage Renal Disease Using Longitudinal Electronic Health RecordsShengqiang Chi, Feng Wang, Xueyao Li, et al.
IEEE Journal of Biomedical and Health Informatics|March 9, 2021
Deep Semisupervised Multitask Learning Model and Its Interpretability for Survival AnalysisShengqiang Chi, Yu Tian, Feng Wang, et al.
Artificial Intelligence in Medicine|March 4, 2022
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction modelsShengqiang Chi, Yu Tian, Feng Wang, et al.
IEEE Journal of Biomedical and Health Informatics|June 11, 2026
Enhancing Predictive Healthcare Models through Counterfactual Data Augmentation: A Novel Approach Leveraging Counterfactual Generative Adversarial NetworksFeng Wang, Shengqiang Chi, Weiwei Zhu, et al.
Studies in Health Technology and Informatics|January 4, 2018
A Study on Data-Driven Novel Cancer Staging MethodsYuan Gao, Yu Tian, Shengqiang Chi, et al.
Life Sciences|January 14, 2025
Integrated multi-omics analysis identifies a machine learning-derived signature for predicting prognosis and therapeutic vulnerability in clear cell renal cell carcinomaShengqiang Chi, Jing Ma, Yiming Ding, et al.
International Journal of Medical Informatics|March 27, 2025
Comparison of machine learning and logistic regression models for predicting emergence delirium in elderly patients: A prospective studyYufan Lu, Ying Li, Shengqiang Chi, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Studies in Health Technology and Informatics|January 25, 2024
A Hemodialysis Mortality Prediction Model Based on Active Contrastive LearningFeng Wang, Shengqiang Chi, Xueyao Li, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A Knowledge-based and Data-driven Approach for Predicting Acute Kidney Injury in Patients with Heart Failure<sup></sup>Shengqiang Chi, Tianshu Zhou, Weiwei Zhu, et al.
Studies in Health Technology and Informatics|January 25, 2024
Graph Neural Network Based Multi-Label Hierarchical Classification for Disease Predictions in General PracticeShengqiang Chi, Yuqing Wang, Ying Zhang, et al.
Studies in Health Technology and Informatics|January 25, 2024
Temporal Phenotyping for End-Stage Renal Disease Using Longitudinal Electronic Health RecordsShengqiang Chi, Feng Wang, Xueyao Li, et al.
IEEE Journal of Biomedical and Health Informatics|March 9, 2021
Deep Semisupervised Multitask Learning Model and Its Interpretability for Survival AnalysisShengqiang Chi, Yu Tian, Feng Wang, et al.
Artificial Intelligence in Medicine|March 4, 2022
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction modelsShengqiang Chi, Yu Tian, Feng Wang, et al.
IEEE Journal of Biomedical and Health Informatics|June 11, 2026
Enhancing Predictive Healthcare Models through Counterfactual Data Augmentation: A Novel Approach Leveraging Counterfactual Generative Adversarial NetworksFeng Wang, Shengqiang Chi, Weiwei Zhu, et al.
Studies in Health Technology and Informatics|January 4, 2018
A Study on Data-Driven Novel Cancer Staging MethodsYuan Gao, Yu Tian, Shengqiang Chi, et al.
Life Sciences|January 14, 2025
Integrated multi-omics analysis identifies a machine learning-derived signature for predicting prognosis and therapeutic vulnerability in clear cell renal cell carcinomaShengqiang Chi, Jing Ma, Yiming Ding, et al.
International Journal of Medical Informatics|March 27, 2025
Comparison of machine learning and logistic regression models for predicting emergence delirium in elderly patients: A prospective studyYufan Lu, Ying Li, Shengqiang Chi, et al.
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