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Updated: Sep 17, 2025

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机器学习用于使用电子健康记录数据预测泌尿突发症

Varuni Sarwal1, Nadav Rakocz1, Georgina Dominique2

  • 1Department of Computer Science, University of California Los Angeles, Los Angeles, California, United States of America.

PLOS digital health
|July 3, 2025
PubMed
概括

机器学习模型可以预测尿路感染 (UTI) 患者的尿路感染风险. 早期识别有助于临床决策,并通过标记高风险个体来改善患者护理.

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