Machine Learning Approach for Chronic Kidney Disease Risk Prediction Combining Conventional Risk Factors and Novel Metabolic Indices

Machine Learning Approach for Chronic Kidney Disease Risk Prediction Combining Conventional Risk Factors and Novel Metabolic Indices

Patients at risk of chronic kidney disease (CKD) must be identified early and precisely in order to prevent complications, save lives, and limit expenditures for patients and health systems. This study aimed to develop a simple, high-precision machine learning model to identify individuals at risk o...

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Bibliographic Details
Main Authors: Amadou Wurry Jallow, Adama N. S. Bah, Karamo Bah, Chien-Yeh Hsu, Kuo-Chung Chu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
machine learning
chronic kidney disease (CKD)
risk factors
novel metabolic indices
Online Access:https://www.mdpi.com/2076-3417/12/23/12001

Internet

https://www.mdpi.com/2076-3417/12/23/12001

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