What is it about?

We developed an automated diagnostic system for the diagnosis of heart disease. CHI Square statistical method is used for feature refinement, and for classification purposes, we used GRU. Six different evaluation metrics accuracy, specificity, sensitivity, MCC, AUC, and ROC charts are used to assess the strength of the diagnostic system.

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Why is it important?

The first time CHI Square statistical method is used with GRU for the diagnosis of heart disease.


Writing this research article was a great pleasure because how we spend money on health and social care is not simply a concern for politicians and researchers; it is related to every human being in the world in some manner. Above all, and at the very least, I hope you will find this article more informative and interesting as well.

University of Poonch Rawalakot

Read the Original

This page is a summary of: Optimally organized GRU-deep learning model with Chi2 feature selection for heart disease prediction, Journal of Intelligent & Fuzzy Systems, March 2022, IOS Press,
DOI: 10.3233/jifs-212438.
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