Prediction of risk factors and electrocardiographic changes in chronic kidney disease patients

The models integrate properties of each factor with weighted contributions to create predictive models for CKD. A novel machine learning technique incorporates automatic machine learning (AutoML).

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Publication Details

Journal
Journal of Basic and Clinical Physiology and Pharmacology
Published
2026-02-02
DOI
https://doi.org/10.1515/jbcpp-2024-0068
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction of risk factors and electrocardiographic changes in chronic kidney disease patients

Madhuchhanda Pattnaik, Aruna Acharya, Sanjaya Kumar Panigrahi
Journal of Basic and Clinical Physiology and Pharmacology
Chronic Kidney Disease and Diabetes
article

Prediction of risk factors and electrocardiographic changes in chronic kidney disease patients

Madhuchhanda Pattnaik, Aruna Acharya, Sanjaya Kumar Panigrahi
article en

Abstract

The models integrate properties of each factor with weighted contributions to create predictive models for CKD. A novel machine learning technique incorporates automatic machine learning (AutoML).

Journal of Basic and Clinical Physiology and Pharmacology
Siddhartha Medical College (IN), Maharaja Krishna Chandra Gajapati Medical College and Hospital (IN), Sriram Chandra Bhanja Medical College Hospital (IN)
Good health and well-being
Openalex Percentile: Top 73%
Chronic Kidney Disease and Diabetes
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