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相关概念视频

Statistical Software for Data Analysis and Clinical Trials01:12

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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相关实验视频

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链接:一个开源,低代码和协作数据科学平台,用于医疗数据分析和可视化.

Boris Delange1, Benjamin Popoff2, Thibault Séité3

  • 1InterHop, Saint-Malo, France; LTSI, INSERM UMR 1099, University of Rennes 1, F-35042 Rennes, France.

International journal of medical informatics
|March 23, 2025
PubMed
概括

链接是一个低代码平台,为研究人员简化医疗保健数据分析. 它增强了数据的互操作性和协作,使大数据研究更容易获得.

关键词:
临床数据仓库 临床数据仓库数据分析数据分析数据可视化数据可视化电子健康记录电子健康记录互操作性 互操作性 互操作性低代码数据分析的数据分析.开放科学是一个开放的科学.这是一个Web应用程序.

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科学领域:

  • 医疗信息学 医疗信息学
  • 数据科学数据科学数据科学
  • 医学研究 医学研究

背景情况:

  • 临床数据仓库 (CDW) 为医学研究提供了有价值的大数据.
  • 在CDW数据模型中缺乏标准化,阻碍了互操作性和研究潜力.
  • 先进的编程技能往往是医疗保健专业人员在数据分析中的障碍.

研究的目的:

  • 开发一个用户友好的,低代码的平台来操纵,可视化和分析医疗保健数据.
  • 改善临床数据仓库数据的互操作性和可访问性.
  • 促进对医疗保健大数据的合作研究.

主要方法:

  • 开发了一个名为LinkR.的开源,低代码的数据科学平台.
  • 该平台基于OMOP通用数据模型.
  • 集成的图形工具和用于数据分析,可视化和操作的高级编程界面.
  • 整合了一个 Git 模块,以简化协作.

主要成果:

  • 链接允许从多个数据源生成研究,将数据组织成个人和人口部分.
  • 用户友好的图形工具允许为个人记录定制数据呈现.
  • 在人口数据部分,可以使用图形和编程接口进行统计分析.
  • 可用性测试显示了高用户满意度,系统可用性评分的中位数为75.
  • 该平台在与12名并发用户的数据马拉松期间成功地与大型OMOP数据库进行了测试.

结论:

  • 通过低代码,开放科学方法,LinkR使对临床数据仓库数据的访问民主化.
  • 该平台促进数据操纵,分析和在医疗保健研究中的协作工作.
  • 链接解决了医疗领域需要可访问的大数据分析工具的需求.