相关实验视频

Updated: Jan 18, 2026

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

1.0K

使用微调的临床语言模型在临床文本中识别药物不良事件:机器学习研究

Elizaveta Kopacheva1, Aron Henriksson2, Hercules Dalianis2

  • 1Department of Computer Science and Media Technology, Faculty of Technology, Linnaeus University, Universitetsplatsen 1, Växjö, 352 52, Sweden, 46 737033730.

JMIR formative research
|September 11, 2025
PubMed
概括

这项研究微调了SweDeClin-BERT模型,在瑞典临床笔记中自动检测不良药物事件 (ADEs),比以前的方法更高的准确性. 综合方法改善了对ADEs的识别,这对患者安全至关重要.

关键词:
贝尔特 (BERT) 公司斯威德·克林-贝尔特 (SweDeClin-BERT) 是一个美国人.药物不良事件是药物不良事件.特定领域的语言模型.电子健康记录电子健康记录

更多相关视频

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

相关概念视频

Pharmacovigilance01:19

Pharmacovigilance

Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
1.6K