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Predicting Cardiovascular and Cerebrovascular Events Based on Instantaneous High-Order Singular Entropy and Deep Belief Network

  • Published:2022 Issue: Volume: Page:1-1
  • ISSN:2168-2194
  • Container-title:IEEE Journal of Biomedical and Health Informatics
  • language:
  • Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Shao Shiliang,Wang Ting,Mumtaz Asad,Song Chunhe,Yao Chen

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 7 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. Cross-modality cerebrovascular segmentation based on pseudo-label generation via paired data;Computerized Medical Imaging and Graphics;2024-07

2. A novel IMW-mrmr feature selection approach for early detection of hypertension with HRV analysis;International Journal of Information Technology;2024-07-01

3. Detection of congestive heart failure based on Gramian angular field and two-dimensional symbolic phase permutation entropy;Biocybernetics and Biomedical Engineering;2024-07

4. Heart Disease Prediction Using GridSearchCV and Random Forest;EAI Endorsed Transactions on Pervasive Health and Technology;2024-03-22

5. Enhancing Cardiovascular Risk Assessment: A Fusion of HRV and Wavelet Transform for Hypertension Patients;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16
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