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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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相关实验视频

Updated: Jul 23, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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增强企业数据仓库以使用自然语言处理提取的数据进行研究.

Tanja Magoc1, Russell Everson2, Christopher A Harle3

  • 1College of Medicine, University of Florida, Gainesville, FL, USA.

Journal of clinical and translational science
|July 17, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种可通用的架构,用于将自然语言处理 (NLP) 数据集成到企业研究数据仓库 (EDW4R). 这提高了研究人员的数据可用性,而不需要NLP专业知识,证明了显著的附加值.

关键词:
在 ETLTL 中,自然语言处理自然语言处理.数据服务数据服务.电子健康记录是电子健康记录.企业数据仓库用于研究.这是一个基于规则的规则.吸烟行为 吸烟行为

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科学领域:

  • 生物医学信息学 生物医学信息学
  • 健康 数据科学 数据科学
  • 临床研究信息学 临床研究信息学

背景情况:

  • 企业研究数据仓库 (EDW4R) 往往缺乏临床笔记中的全面数据.
  • 自然语言处理 (NLP) 可以从非结构化的临床叙述中提取有价值的离散数据.
  • 将NLP衍生数据集成到EDW4R中可以显著提高研究能力.

研究的目的:

  • 开发一个可通用的架构,以通过NLP模型输出增强EDW4R.
  • 让临床笔记中的离散数据广泛用于研究,而不需要NLP专业知识.
  • 量化从EDW4R.临床叙述中提取的信息的附加值.

主要方法:

  • 一个现有的NLP模型在一个学术医疗中心使用一个月的临床记录进行了评估.
  • 手动审查用于NLP模型性能分析.
  • 描述了一个详细的,可复制的架构来增强EDW4R.

主要成果:

  • 在两周内,EDW4R被增强了2.5亿份临床笔记的数据.
  • 对于两个关键变量,NLP产生了16%和39%的数据可用性增加.
  • 一个独立的团队证实了NLP模型的高正预测值.

结论:

  • 开发的架构对新的NLP模型具有很高的概括性.
  • 在EDW4R中,NLP显著增加了已经以结构化格式存在的数据的价值.
  • 通过NLP提取的数据来增强EDW4R,使研究团队缺乏NLP专业知识.