基于机器学习的尿路结石复发预测模型的开发与验证 - Suppr | 超能文献

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基于机器学习的尿路结石复发预测模型的开发与验证 - Suppr | 超能文献

Development and validation of a machine learning-based prediction model for urinary calculi recurrence.

作者信息

Guo Jiangkun, Zhang Jinhang, Zhang Jinxiao, Xu Changbao, Wang Xikun, Liu Changwei

机构信息

Department of Urology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.

The Second Clinical Medical School of Zhengzhou University, No. 2 Jingba Road, Jinshui District, Zhengzhou, 450000, China.

出版信息

Urolithiasis. 2025 Jun 19;53(1):120. doi: 10.1007/s00240-025-01792-3.

DOI:10.1007/s00240-025-01792-3

Abstract

摘要

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Machine learning for predicting in-hospital mortality in elderly patients with heart failure combined with hypertension: a multicenter retrospective study.机器学习预测老年心力衰竭合并高血压患者住院死亡率：一项多中心回顾性研究。

Cardiovasc Diabetol. 2024 Nov 15;23(1):407. doi: 10.1186/s12933-024-02503-9.

3

A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-Hour Urine Data.

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J Endourol. 2024 Aug;38(8):809-816. doi: 10.1089/end.2023.0457.

4

Metabolic Evaluation and Recurrence Prevention for Urinary Stone Patients: An EAU Guidelines Update.代谢评估和预防尿路结石患者复发：EAU 指南更新。

Eur Urol. 2024 Oct;86(4):343-363. doi: 10.1016/j.eururo.2024.05.029. Epub 2024 Jul 27.

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Impact of low-oxalate diet on hyperoxaluria among patients suffering from nephrolithiasis.低草酸盐饮食对肾结石患者高草酸尿症的影响。

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World J Urol. 2024 Mar 13;42(1):132. doi: 10.1007/s00345-024-04831-7.

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J Endourol. 2023 Dec;37(12):1295-1304. doi: 10.1089/end.2023.0451. Epub 2023 Oct 31.

8

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BJU Int. 2024 Jan;133(1):34-43. doi: 10.1111/bju.16179. Epub 2023 Sep 27.

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