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Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients

  • Published:2020-02 Issue:2 Volume:24 Page:486-492
  • ISSN:2168-2194
  • Container-title:IEEE Journal of Biomedical and Health Informatics
  • language:
  • Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Yu Ruoxi,Zheng YaliORCID,Zhang RuikaiORCID,Jiang Yuqi,Poon Carmen C. Y.ORCID

Funder

General Research Fund and Hong Kong Innovation and Technology Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining Reverse Temporal Attention Mechanism and Dynamic Similarity Analysis for Disease Prediction;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

2. Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic Review;Journal of Healthcare Informatics Research;2023-08-14

3. Improving Mortality Risk Prediction with Routine Clinical Data: A Practical Machine Learning Model Based on eICU Patients;International Journal of General Medicine;2023-07

4. Multi-task Deep Neural Network for Air Pollution Prediction and Spatial Effect Analysis;2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2023-04-26

5. DECAF: An interpretable deep cascading framework for ICU mortality prediction;Artificial Intelligence in Medicine;2023-04
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