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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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医学词汇的知识工程使用大型语言模型.

Hsin Yi Chen1, Anna Ostropolets1,2, Chunhua Weng1

  • 1Department of Biomedical Informatics, Columbia University, New York, NY, USA.

AMIA ... Annual Symposium proceedings. AMIA Symposium
|February 23, 2026
PubMed
概括

大型语言模型 (LLM) 显示了自动化医疗词汇任务的潜力,例如术语相似性和分组. 然而,目前的模型需要提高回忆和临床准确性,以全面管理医疗保健数据.

科学领域:

  • 医疗信息学 医疗信息学
  • 自然语言处理自然语言处理.
  • 医疗数据管理 医疗数据管理

背景情况:

  • 医疗词汇对于医疗数据至关重要,但维护成本昂贵.
  • 自动化词汇管理可以提高效率并降低成本.

研究的目的:

  • 评估使用大型语言模型 (LLM) 来自动化医疗词汇管理的可行性.
  • 评估LLM在术语相似性,附加和分组任务上的表现.

主要方法:

  • 在来自SNOMED CT的1533个心血管条件上使用了GPT-4o.
  • 对三个关键任务的OHDSI标准化词汇进行了LLM绩效的比较.

主要成果:

  • 在术语相似性 (0.78),附属性 (0.74) 和分组 (0.78) 方面,LLMs实现了高精度.
  • 召回率较低,特别是归纳 (0.08),表明覆盖率差距较大.

结论:

  • 在医疗词汇任务的自动化方面,LLM表现有前途,但需要进一步改进.
  • 未来的研究应该专注于改善回忆,减少错误和评估可扩展性.

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