Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques

Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques

Cardiovascular disease is a substantial cause of mortality and morbidity in the world. In clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining transforms huge amounts of raw data generated by the health industry into useful information that can help in maki...

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Bibliographic Details
Main Authors: Abid Ishaq, Saima Sadiq, Muhammad Umer, Saleem Ullah, Seyedali Mirjalili, Vaibhav Rupapara, Michele Nappi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Data mining
heart disease classification
machine learning
cardiovascular disease
feature selection
SMOTE
Online Access:https://ieeexplore.ieee.org/document/9370099/

Internet

https://ieeexplore.ieee.org/document/9370099/

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