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Tieming Liu

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Automation Science and Engineering : a Publication of the IEEE Robotics and Automation Society|April 3, 2026
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health RecordsZekai Wang, Tieming Liu, Bing Yao
Health Informatics Journal|June 15, 2019
Clinical decision support system to assess the risk of sepsis using Tree Augmented Bayesian networks and electronic medical record dataAkash Gupta, Tieming Liu, Scott Shepherd
Statistical Methods in Medical Research|June 20, 2020
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case studyAkash Gupta, Tieming Liu, Christopher Crick
Healthcare Informatics Research|May 18, 2018
Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFAAkash Gupta, Tieming Liu, Scott Shepherd, et al.
Healthcare Informatics Research|August 16, 2018
Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFAAkash Gupta, Tieming Liu, Scott Shepherd, et al.
Intelligence-Based Medicine|December 24, 2024
Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labelsYe Liang, Ru Wang, Yuchen Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Cost-Saving Data-Driven Diabetic Retinopathy Prediction via a Sampling-Empowered Incremental Learning ApproachAnastasiia Oskolkova, Boris Oskolkov, Tieming Liu, et al.
IEEE Journal of Biomedical and Health Informatics|January 9, 2024
Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy PredictionZekai Wang, Suhao Chen, Tieming Liu, et al.
The Annals of Applied Statistics|May 8, 2023
BAYESIAN ANALYSIS FOR IMBALANCED POSITIVE-UNLABELLED DIAGNOSIS CODES IN ELECTRONIC HEALTH RECORDSRu Wang, Ye Liang, Zhuqi Miao, et al.
National Science Review|May 4, 2026
Improvement of China's Shan-Shui Initiative: strategic pathways for its sustainable developmentYanjun Shen, Shengwei Zhang, Tieming Liu, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Automation Science and Engineering : a Publication of the IEEE Robotics and Automation Society|April 3, 2026
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health RecordsZekai Wang, Tieming Liu, Bing Yao
Health Informatics Journal|June 15, 2019
Clinical decision support system to assess the risk of sepsis using Tree Augmented Bayesian networks and electronic medical record dataAkash Gupta, Tieming Liu, Scott Shepherd
Statistical Methods in Medical Research|June 20, 2020
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case studyAkash Gupta, Tieming Liu, Christopher Crick
Healthcare Informatics Research|May 18, 2018
Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFAAkash Gupta, Tieming Liu, Scott Shepherd, et al.
Healthcare Informatics Research|August 16, 2018
Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFAAkash Gupta, Tieming Liu, Scott Shepherd, et al.
Intelligence-Based Medicine|December 24, 2024
Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labelsYe Liang, Ru Wang, Yuchen Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Cost-Saving Data-Driven Diabetic Retinopathy Prediction via a Sampling-Empowered Incremental Learning ApproachAnastasiia Oskolkova, Boris Oskolkov, Tieming Liu, et al.
IEEE Journal of Biomedical and Health Informatics|January 9, 2024
Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy PredictionZekai Wang, Suhao Chen, Tieming Liu, et al.
The Annals of Applied Statistics|May 8, 2023
BAYESIAN ANALYSIS FOR IMBALANCED POSITIVE-UNLABELLED DIAGNOSIS CODES IN ELECTRONIC HEALTH RECORDSRu Wang, Ye Liang, Zhuqi Miao, et al.
National Science Review|May 4, 2026
Improvement of China's Shan-Shui Initiative: strategic pathways for its sustainable developmentYanjun Shen, Shengwei Zhang, Tieming Liu, et al.
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