Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

Heart disease is one of the primary causes of morbidity and death worldwide. Millions of people have had heart attacks every year, and only early-stage predictions can help to reduce the number. Researchers are working on designing and developing early-stage prediction systems using different advanc...

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Bibliographic Details
Main Authors: Mahmudul Hasan, Md Abdus Sahid, Md Palash Uddin, Md Abu Marjan, Seifedine Kadry, Jungeun Kim
Format: Article
Language:English
Published: PeerJ Inc. 2024-03-01
Series:PeerJ Computer Science
Subjects:
Inter-dataset
Performance discrepancy
Dimensionality reduction
Heart disease prediction
Machine learning
Online Access:https://peerj.com/articles/cs-1917.pdf

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https://peerj.com/articles/cs-1917.pdf

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