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Updated: Jan 22, 2026

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用微调的大型语言模型对电子健康记录中修改的兰金尺度进行评估

Luis Silva1,2, Marcus Milani2, Sohum Bindra2

  • 1University of Florida, 1600 SW Archer Road, Gainesville, US.

JMIR AI
|January 20, 2026
PubMed
概括

大型语言模型 (LLM) 可以准确地分类从电子健康记录 (EHR) 修改的兰金尺度 (mRS) 的得分,用于中风研究. 虽然对二进制结果有效,但对于中间的mRS分数需要进一步改进.

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The genitourinary system is critical to maintaining fluid balance, waste elimination, and reproductive function. Nurses play a vital role in assessing this system, beginning with a thorough health history. This process involves gathering patient information, identifying risk factors, and recognizing symptoms of genitourinary disorders. Early detection is vital for timely interventions and management.1. Gathering Patient InformationA complete health history includes the patient’s personal,...
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