云中的真实世界证据:使用亚马逊网络服务资源开发端到端数据和分析管道的教程.
Wes Anderson1, Roopal Bhatnagar1, Keith Scollick1
1Critical Path Institute, Tucson, Arizona, USA.
Clinical and translational science
|December 13, 2024
概括
本研究介绍了一种基于云的数据管道,用于药物开发中的真实世界数据 (RWD) 分析. 它可以实现高效的数据处理和先进的分析,用于更好的决策.
科学领域:
- 生物医学信息学 生物医学信息学
- 在医疗保健中的数据科学.
- 云计算用于研究研究.
背景情况:
- 对现实世界数据 (RWD) 的有效分析对于现代药物开发和医疗保健至关重要.
- 现有的数据处理方法对于大型,多样化的数据集可能是低效的.
- CURE ID平台需要强大的数据处理来进行非标签治疗分析.
研究的目的:
- 为基于云端的端到端数据和分析管道提供蓝图.
- 展示亚马逊网络服务 (AWS) 工具用于数据管理的应用.
- 在药物开发中支持先进的分析和数据驱动的决策.
主要方法:
- 开发了一个由四个组成部分组成的管道:数据摄入,转换,可视化和分析.
- 使用了一套AWS服务,包括Lambda,RDS,QuickSight和SageMaker.
- 使用CURE ID平台为现实世界,非标签治疗数据提供管道的示例.
主要成果:
- 成功地将各种数据源吸收并转化为结构化格式.
- 通过仪表板启用了交互式数据可视化.
- 在CURE ID平台内应用机器学习模型进行高级数据分析.
结论:
- 拟议的基于云的管道为RWD分析提供了一个可扩展和适应的框架.
- 该架构增强了超越药物重定向的数据驱动决策.
- AWS 工具为构建高效的医疗保健数据管道提供了坚实的基础.
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