Using Machine Learning for Detection and Prediction of Chronic Diseases

Using Machine Learning for Detection and Prediction of Chronic Diseases

Heart attacks are a leading cause of mortality worldwide, necessitating the development of accurate predictive models to enhance early detection and intervention strategies. This study addresses the significant problem of class imbalance in medical datasets, specifically focusing on heart attack pre...

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Bibliographic Details
Main Authors: Nacim Yanes, Leila Jamel, Bayan Alabdullah, Mohamed Ezz, Ayman Mohamed Mostafa, Hossameldeen Shabana
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Heart attack prediction
ensemble model
chronic diseases
class imbalance
ML classifiers
model transparency
Online Access:https://ieeexplore.ieee.org/document/10749829/
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https://ieeexplore.ieee.org/document/10749829/

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