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Updated: Jan 10, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
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Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

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机器学习模型用于预测患有异常性综合征的儿童的严重感染:多中心回顾性研究

Sijie Yu1, Wenhao Tang1, De Zhang2

  • 1Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan 2nd Road, Yuzhong District, Chongqing, China.

Italian journal of pediatrics
|November 26, 2025
PubMed
概括

机器学习可以准确地预测患有异常性性综合征 (INS) 的儿童的严重感染. 这种工具有助于早期检测,通过识别高风险个体进行及时干预,改善患者的治疗结果.

关键词:
孩子 孩子 孩子 孩子异常发病性性综合征 (Idiopathic Nephrotic Syndrome) 是一种疾病.机器学习 机器学习预测模型的预测模型.严重的感染严重的感染

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