Advanced Detection of Abnormal ECG Patterns Using an Optimized LADTree Model with Enhanced Predictive Feature: Potential Application in CKD

Detecting abnormal ECG patterns is a crucial area of study aimed at enhancing diagnostic accuracy and enabling early identification of Chronic Kidney Disease (CKD)-related abnormalities. This study compares a unique strategy for abnormal ECG patterns using the LADTree model to standard machine learn...

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Bibliographic Details

Published in:	Algorithms
Main Authors:	Muhammad Binsawad, Bilal Khan
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Subjects:	Chronic Kidney Disease (CKD) machine learning (ML) ECG signal data LADTree model feature selection
Online Access:	https://www.mdpi.com/1999-4893/17/9/406