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Optimally organized GRU-deep learning model with Chi2 feature selection for heart disease prediction

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.

Why is it important?

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

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