A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm

A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm

The early, valid prediction of heart problems would minimize life threats and save lives, while lack of prediction and false diagnosis can be fatal. Addressing a single dataset alone to build a machine learning model for the identification of heart problems is not practical because each country and...

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Bibliographic Details
Main Authors: Alaa Menshawi, Mohammad Mehedi Hassan, Nasser Allheeib, Giancarlo Fortino
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
UCI dataset
heart diseases
artificial intelligence (AI)
machine learning (ML)
deep learning (DL)
feature selection
Online Access:https://www.mdpi.com/1424-8220/23/3/1392

Internet

https://www.mdpi.com/1424-8220/23/3/1392

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