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使用人工智能工具来自动提取数据,用于活体证据合成
Evan Mitchell1, Elisha B Are2, Caroline Colijn2
1Department of Mathematics and Statistics, McMaster University, Hamilton, ON,Canada.
PloS one
|April 3, 2025
概括
这项研究介绍了一个基于人工智能的Python程序,用于自动化用于活证据合成 (LES) 的数据提取. 该工具显著减少了更新系统审查的手工工作,提高了研究效率.
科学领域:
- 医疗信息学 医疗信息学
- 研究中的人工智能.
- 流行病学 流行病学
背景情况:
- 生活证据综合 (LES) 需要经常更新系统审查和元分析.
- 从新研究文章中手动提取数据是耗时和劳动密集的.
- 当前的工具可以自动检索文章,但不能提取数据.
研究的目的:
- 开发和测试使用AI (ChatGPT) 的Python程序,以自动化为LES数据提取.
- 为了减少在数据提取方面的人力时间投资,而不会牺牲准确性.
- 评估人工智能工具在科学研究工作流程中的有用性.
主要方法:
- 开发了一个概念验证的Python程序.
- 该程序使用ChatGPT来解析期刊文章并提取相关结果.
- 该工具在评估COVID-19平均潜伏期的文章上进行了测试.
主要成果:
- 这个由人工智能驱动的程序成功地解析了文章并提取了数据.
- 观察到,用于数据提取的人力时间投资的显著减少.
- 提取的数据的准确性得到了维护.
结论:
- 像ChatGPT这样的AI工具可以有效地自动化数据提取,用于活证据合成.
- 这种方法可以大大提高系统审查和元分析的效率.
- 需要进一步的研究来解决AI引擎信息处理速度的局限性.
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