Cardiovascular risk prediction method based on CFS subset evaluation and random forest classification framework-Reference-Cited by-同舟云学术

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Cardiovascular risk prediction method based on CFS subset evaluation and random forest classification framework

Published:2017-03 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(
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Author:

Xu Shan,Zhang Zhen,Wang Daoxian,Hu Junfeng,Duan Xiaohui,Zhu Tiangang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8053962/8078675/08078813.pdf?arnumber=8078813

Cited by 45 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. Modified bi-directional long short-term memory and hyperparameter tuning of supervised machine learning models for cardiovascular heart disease prediction in mobile cloud environment;Biomedical Signal Processing and Control;2024-08

2. Using machine learning to predict acute myocardial infarction and ischemic heart disease in primary care cardiovascular patients;PLOS ONE;2024-07-18

3. Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring;CAAI Transactions on Intelligence Technology;2024-03-25

4. Design of a Classifier model for Heart Disease Prediction using normalized graph model;Salud, Ciencia y Tecnología - Serie de Conferencias;2024-03-11

5. Heart Disease Prediction using ML Techniques;International Journal of Advanced Research in Science, Communication and Technology;2024-01-24

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