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Updated: Sep 9, 2025

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自然语言处理和ICD-10编码用于检测出血事件:比较的横截面研究

Frederic Gaspar1,2, Mehdi Zayene3, Claire Coumau1,2,4

  • 1Center for Research and Innovation in Clinical Pharmaceutical Sciences, Rue du Bugnon 19, Lausanne, 1011, Switzerland, 41 763306834.

JMIR medical informatics
|August 29, 2025
PubMed
概括

自然语言处理 (NLP) 模型在检测老年患者出血不良药事件 (ADEs) 方面显著优于ICD-10代码. 通过NLP准确地识别出出血的严重程度和病史,改善了患者的安全监测.

关键词:
没有.其他类型进行NLP药物不良事件人工智能发生出血横截面的决策支持系统进行决策深度学习排放总结年长者电子医疗记录医疗服务发生出血国际疾病分类后勤回归机器学习医疗记录自然语言处理年长的成人

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