相关实验视频

Updated: Jun 15, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

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视觉化护理叙述:对潜伏的迪里克莱特分配的评估 护理报告的主题建模

Martin Danler1, Werner O Hackl1, Sabrina B Neururer1,2

  • 1Division for Digital Medicine and Telehealth, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括

隐性迪里克莱特分配 (LDA) 主题建模确定了护理笔记中的关键主题,揭示了对患者福祉和护理活动的见解. 发现了可重现性和参数灵敏性的挑战,建议在医疗保健文本分析中进一步验证方法.

关键词:
数据可视化 数据可视化护理叙述 护理叙述主题 建模 主题 建模

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