Kidney Research and Clinical Practice

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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; DOI: https://doi.org/10.23876/j.krcp.23.330
Cited By 1; Full text PubReader ePub PDF Supplementary Material

Clinical Characteristics and Outcomes of Septic Acute Kidney Injury in Critically Ill Patients: Eunjung Cho, M.D., Inhye Cha, M.D., Kichul Yoon, M.D., Hye Min Choi, M.D., Sang-Kyung Jo, M.D., Won Yong Cho, M.D. and Hyoung Kyu Kim, M.D.; Korean J Nephrol. 2011;30(3):253-259.; PDF

Volume 44, No. 2

Kidney Research
and
Clinical Practice

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

Impact Factor

2.9

MOST VIEWED MOST CITED

4,503	Personalized nutritional management in the transition from non-dialysis dependent chronic kidney disease to dialysis
4,165	Longitudinal progression trajectory of estimated glomerular filtration rate in children with chronic kidney disease: results from the KNOW-Ped CKD (KoreaN cohort study for Outcomes in patients With Pediatric Chronic Kidney Disease)
14,217	How should we treat acute kidney injury caused by renal congestion?
5,061	Artificial intelligence and machine learning’s role in sepsis-associated acute kidney injury
2,552	Management of high-flow arteriovenous access

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Cited By 21	Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells
Cited By 17	Acute kidney disease: an overview of the epidemiology, pathophysiology, and management
Cited By 16	Body water percentage from childhood to old age
Cited By 15	The flavonoid fisetin ameliorates renal fibrosis by inhibiting SMAD3 phosphorylation, oxidative damage, and inflammation in ureteral obstructed kidney in mice

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