尖端人工智能技术在生物医学文献和文档挖掘中的应用
Fei He1,2, Kai Liu1, Zhiyuan Yang1
1School of Information Science and Technology, Northeast Normal University, Changchun, Jilin Province, China.
Medical review (2021)
|October 4, 2023
概括
人工智能 (AI) 可以自动从研究论文中提取生物医学知识,克服手工策划的局限性. 这种方法增强了生物医学知识库的创建和更新.
科学领域:
- 生物医学信息学 生物医学信息学
- 人工智能在医学中的应用
- 知识 发现 发现 发现
背景情况:
- 生物医学文献是研究和临床决策的关键资源.
- 现有的生物医学知识库 (例如,KEGG,Reactome) 在很大程度上依赖于手工策划.
- 越来越多的出版物使手工策划变得具有挑战性和昂贵.
研究的目的:
- 强调人工智能 (AI) 在自动化从生物医学文献中提取知识方面的潜力.
- 讨论人工智能在建立和更新生物医学知识库中的作用.
- 为了解决手册文献策划的可扩展性问题.
主要方法:
- 在生物医学领域对自然语言处理 (NLP) 的AI能力的审查.
- 探索用于实体和关系提取的机器学习技术.
- 对人工智能驱动的知识基础建设方法的评估.
主要成果:
- 人工智能技术可以有效地挖掘生物医学文献的实体和关系.
- 通过人工智能的自动化大大减少了与知识库策划相关的时间和成本.
- 人工智能有助于整合多种生物医学数据源.
结论:
- 人工智能为手动生物医学文献策划的挑战提供了一个可扩展的解决方案.
- 人工智能的自动知识提取可以加速生物医学研究,改善临床决策支持.
- 利用人工智能对于保持最新和全面的生物医学知识库至关重要.
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