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Updated: Jan 7, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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评估文本数据质量对特征表示和机器学习模型的影响:使用大型语言模型进行定量研究

Tabinda Sarwar1, Antonio José Jimeno Yepes1, Lawrence Cavedon1

  • 1Royal Melbourne Institute of Technology University, Melbourne, Australia.

Journal of medical Internet research
|December 30, 2025
PubMed
概括

机器学习模型在不到10%的错误率的健康数据集上表现良好,但在错误率较高的情况下,性能显著下降. 评估和纠正数据质量对于医疗保健中可靠的机器学习至关重要.

关键词:
在老年护理院,养老院.临床数据 临床数据数据质量数据质量数据质量电子健康记录是电子医疗记录.错误率的错误率是什么意思医疗保健 医疗保健 医疗保健 医疗保健大型语言模型.机器学习是机器学习.自然语言处理自然语言处理.预测建模预测建模

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