Remote health monitoring: Predicting outcome success based on contextual features for cardiovascular disease-Reference-Cited by-同舟云学术

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Remote health monitoring: Predicting outcome success based on contextual features for cardiovascular disease

Published:2014-08 Issue: Volume: Page:
ISSN:
Container-title:2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Author:

Alshurafa Nabil,Eastwood Jo-Ann,Pourhomayoun Mohammad,Liu Jason J.,Sarrafzadeh Majid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6923026/6943513/06943953.pdf?arnumber=6943953

Cited by 11 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. A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Issues in Cardiovascular Patients Discharged from Hospital: A Clinical Trial of Cloud-based Machine Learning Platform to Predict Clinical Outcome at Home (Preprint);JMIR Cardio;2022-12-16

3. Cloud-based Machine Learning Predicts Clinical Outcome in Cardiovascular Patients Discharged to Home (Preprint);2022-12-16

4. Hybrid Al Framework for Remote Patient Heart Failure Risk Prediction;2022 Global Reliability and Prognostics and Health Management (PHM-Yantai);2022-10-13

5. Training room management based on speech recognition and artificial intelligence;International Journal of Modeling, Simulation, and Scientific Computing;2022-05-13

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