Enhancing Heart Attack Prediction: Feature Identification from Multiparametric Cardiac Data Using Explainable AI

Enhancing Heart Attack Prediction: Feature Identification from Multiparametric Cardiac Data Using Explainable AI

Heart attack is a leading cause of mortality, necessitating timely and precise diagnosis to improve patient outcomes. However, timely diagnosis remains a challenge due to the complex and nonlinear relationships between clinical indicators. Machine learning (ML) and deep learning (DL) models have the...

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Bibliographic Details
Main Authors: Muhammad Waqar, Muhammad Bilal Shahnawaz, Sajid Saleem, Hassan Dawood, Usman Muhammad, Hussain Dawood
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Algorithms
Subjects:
machine learning
heart attack prediction
explainable AI (XAI)
deep learning
classification algorithm
neural networks
Online Access:https://www.mdpi.com/1999-4893/18/6/333
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