Integrative Framework for Heart Failure Risk Assessment and Tailored Mitigation Strategies
Author:
Affiliation:
1. Vellore Institute of Technology,School of Computer Science and Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10670699/10670715/10671374.pdf?arnumber=10671374
Reference14 articles.
1. Improving risk prediction in heart failure using machine learning
2. Machine Learning and Artificial Neural Network for Predicting Heart Failure Risk
3. Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure
4. Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques
5. A convolutional neural network approach to detect congestive heart failure
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