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Original Articles
Machine learning-assisted prediction of 5-year mortality in chronic kidney disease: the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD)
Sang Heon Suh, Hong Sang Choi, Chang Seong Kim et al.
Received December 30, 2025   Accepted May 28, 2026   Published online August 7, 2026   
[Epub ahead of print]
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Development and external validation of an explainable machine learning model for predicting chronic kidney disease progression in the Korean population
Hojun Yu, Yon Su Kim, Kwon Wook Joo et al.
Received February 2, 2026   Accepted April 29, 2026   Published online June 11, 2026   
[Epub ahead of print]
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6552
Impact of acute kidney injury labeling strategies in hospitalized patients: suggestion for a dual-alert clinical decision support system
Se-Jin Ahn, Nam-Jun Cho, Inyong Jeong et al.
Received July 23, 2025   Accepted October 20, 2025   Published online December 8, 2025   
[Epub ahead of print]
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6529
Machine learning-based utilization of lipid panels in predicting kidney dysfunction
Soie Kwon, Donghwan Yoon, Changhwa Park et al.
Received February 17, 2025   Accepted July 31, 2025   Published online August 22, 2025   
[Epub ahead of print]
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Review Articles
6482
Statistical consideration in nephrology research
Ke Xu, Hakmook Kang
Kidney Res Clin Pract. 2025;44(5):741-750.   Published online June 10, 2025
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Original Articles
6462
Impact of prolonged elevated heart rate on sepsis-associated acute kidney injury patients: a causal inference and prediction study
Fuxing Deng, Chunlin Zhu, Yaoyuan Cao, Shuangping Zhao
Received August 13, 2024   Accepted January 4, 2025   Published online April 11, 2025   
[Epub ahead of print]
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6457
A novel approach to the relation of multi-pollutant effect and kidney dysfunction: data analysis from the Korean National Environmental Health Survey Cycle 3 (2015–2017)
Inae Lee, Junhyug Noh, Yaerim Kim et al.
Received July 1, 2024   Accepted December 23, 2024   Published online February 19, 2025   
[Epub ahead of print]
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6383
Conventional machine learning-based prediction models did not outperform the International IgA Nephropathy Prediction Tool
Sehoon Park, Yisak Kim, Chung Hee Baek et al.
Kidney Res Clin Pract. 2025;44(5):802-813.   Published online September 12, 2024
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Review Articles
6357
In silico medicine and -omics strategies in nephrology: contributions and relevance to the diagnosis and prevention of chronic kidney disease
Ana Checa-Ros, Antonella Locascio, Nelia Steib et al.
Kidney Res Clin Pract. 2025;44(1):49-57.   Published online July 5, 2024
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6374
Artificial intelligence and machine learning’s role in sepsis-associated acute kidney injury
Wisit Cheungpasitporn, Charat Thongprayoon, Kianoush B. Kashani
Kidney Res Clin Pract. 2024;43(4):417-432.   Published online June 20, 2024
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Original Articles
6373
A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injury
Nam-Jun Cho, Inyong Jeong, Yeongmin Kim et al.
Kidney Res Clin Pract. 2024;43(4):538-547.   Published online June 17, 2024
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6282
Machine learning-based 2-year risk prediction tool in immunoglobulin A nephropathy
Yujeong Kim, Jong Hyun Jhee, Chan Min Park et al.
Kidney Res Clin Pract. 2024;43(6):739-752.   Published online October 27, 2023
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Kidney Research
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Clinical Practice

Print ISSN: 2211-9132
Online ISSN: 2211-9140



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