相关实验视频

Updated: Jul 14, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

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评估一款机器学习工具原型,用于半自动提取系统文献审查的数据

Antonia Panayi1, Katherine Ward2, Amir Benhadji-Schaff3

  • 1Takeda Pharmaceuticals International AG, Thurgauerstrasse 130, 8152, Glattpark-Opfikon, Zurich, Switzerland. antonia.panayi@takeda.com.

Systematic reviews
|October 6, 2023
PubMed
概括

机器学习模型,特别是带有条件随机场 (CRF) 模型的BERT,在自动化用于系统文献审查 (SLR) 的数据提取方面表现出前途. 这些人工智能工具可以提高科学出版物中识别关键信息的效率和准确性.

关键词:
基于证据的实践实践.信息科学 信息科学信息的存储和检索.方法 方法 方法作为主题的系统审查.

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