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相关概念视频

Framing Effects03:26

Framing Effects

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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.4K

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相关实验视频

Updated: Jul 1, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

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为临床时间关系提取类型标记器和上下文.

Cheng Cheng1, Jeremy C Weiss2

  • 1Carnegie Mellon University, Pittsburgh, PA, United States.

Proceedings of machine learning research
|March 13, 2024
PubMed
概括

本研究引入了用于临床时间关系提取的类型标记,提高了I2B2数据集的准确性. 新方法通过结合医疗实体信息来增强变压器模型,实现最先进的结果.

科学领域:

  • 自然语言处理自然语言处理.
  • 临床信息学 临床信息学
  • 生物医学文本挖掘 生物医学文本挖掘

背景情况:

  • 从临床笔记中准确地提取时间关系对于临床研究至关重要.
  • 现有的方法往往需要复杂的特征工程和时间推理.

研究的目的:

  • 引入和评估一种使用类型标记器用于临床时间关系提取的新方法.
  • 通过整合医疗实体信息来提高基于变压器的模型的性能.

主要方法:

  • 开发了创建类型标记器的策略,其中包含各种细节的实体类型信息.
  • 将这些打字标记应用于临床文本,创建标记的上下文句子.
  • 将被标记的句子输入到基于变压器的架构中,用于关系提取.

主要成果:

  • 拟议的系统在I2B2临床基准数据集上获得了最佳报告的F1得分83.5%,即83.5%.
  • 与之前的最佳系统相比,显示出3.3%的大幅改善.
  • 展示了类型标记器在没有广泛的功能工程的情况下胜过更复杂的系统.

结论:

  • 类型标记器,当与医疗实体信息集成时,显著提高临床时间关系提取.

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  • 这种方法为现有的复杂系统提供了更有效和潜在的更简单的替代方案.
  • 这些发现为在临床研究中更可靠地提取时间信息铺平了道路.