Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification

Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification

Metabolic syndrome (MetS) is a cluster of risk factors including hypertension, hyperglycemia, dyslipidemia, and abdominal obesity. Metabolism-related risk factors include diabetes and heart disease. MetS is also linked to numerous cancers and chronic kidney disease. All of these variables raise medi...

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Bibliographic Details
Main Authors: Mohammed G. Sghaireen, Yazan Al-Smadi, Ahmad Al-Qerem, Kumar Chandan Srivastava, Kiran Kumar Ganji, Mohammad Khursheed Alam, Shadi Nashwan, Yousef Khader
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
metabolic syndrome
data augmentation
feature selection
diagnostic algorithms
disease diagnosis
Online Access:https://www.mdpi.com/2075-4418/12/12/3117

Internet

https://www.mdpi.com/2075-4418/12/12/3117

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