Brief review: machine learning-based 2-year risk prediction model for immunoglobulin A nephropathy progression.

IF 2.9 3区医学 Q1 UROLOGY & NEPHROLOGY

Kidney Research and Clinical Practice Pub Date : 2024-07-05 DOI:10.23876/j.krcp.24.998

Hae-Ryong Yun, Tae-Hyun Yoo

引用次数: 0

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简评：基于机器学习的免疫球蛋白 A 肾病进展 2 年风险预测模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Kidney Research and Clinical Practice UROLOGY & NEPHROLOGY-

CiteScore

4.60

自引率

10.00%

发文量

审稿时长

10 weeks

期刊介绍： Kidney Research and Clinical Practice (formerly The Korean Journal of Nephrology; ISSN 1975-9460, launched in 1982), the official journal of the Korean Society of Nephrology, is an international, peer-reviewed journal published in English. Its ISO abbreviation is Kidney Res Clin Pract. To provide an efficient venue for dissemination of knowledge and discussion of topics related to basic renal science and clinical practice, the journal offers open access (free submission and free access) and considers articles on all aspects of clinical nephrology and hypertension as well as related molecular genetics, anatomy, pathology, physiology, pharmacology, and immunology. In particular, the journal focuses on translational renal research that helps bridging laboratory discovery with the diagnosis and treatment of human kidney disease. Topics covered include basic science with possible clinical applicability and papers on the pathophysiological basis of disease processes of the kidney. Original researches from areas of intervention nephrology or dialysis access are also welcomed. Major article types considered for publication include original research and reviews on current topics of interest. Accepted manuscripts are granted free online open-access immediately after publication, which permits its users to read, download, copy, distribute, print, search, or link to the full texts of its articles to facilitate access to a broad readership. Circulation number of print copies is 1,600.