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Updated: May 17, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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在退伍军人中识别患者报告的结果测量文档 卫生管理 手术诊所 笔记:自然语言处理分析

Brian C Coleman1,2,3, Kelsey L Corcoran1,3, Cynthia A Brandt1,2,3

  • 1Pain Research, Informatics, Multimorbidities, and Education Center, VA Connecticut Healthcare System, 950 Campbell Ave, West Haven, CT, 06516, United States, 1 2039325711.

JMIR medical informatics
|April 2, 2025
PubMed
概括

自然语言处理 (NLP) 有效地识别了退伍军人卫生管理局的手术笔记中的患者报告的结果措施 (PROM). 这种方法有助于监测护理质量,尽管PROM记录率仍然很低.

关键词:
在这里,我们可以看到AIAIAI.在NLP中,我们使用了NLP.在这种情况下,Prom是Prom.退伍军人卫生管理局退伍军人卫生管理局人工智能的人工智能是人工智能.关心的关心的关心的关心整形手术的治疗方法整形手术护理 整形手术护理整形外科医生 整形外科医生综合健康队列 综合健康队列肌肉骨系统 肌肉骨肌肉骨疾病的诊断自然语言处理自然语言处理.神经网络的神经网络的神经网络患者报告的结果衡量患者报告的结果.护理的质量 护理质量医疗保健的质量 医疗保健的质量退伍军人 退伍军人 退伍军人 退伍军人

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