CODA:一个开源平台,用于分布式医疗数据的联合分析和机器学习
Louis Mullie1,2,3, Jonathan Afilalo4, Patrick Archambault5,6,7
1Department of Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, H2X 3E4, Canada.
协作数据分析 (CODA) 平台使多机构分析无需数据聚合,解决现有方法的局限性. 它在9家加拿大医院成功部署,为超过100万名患者证明了可行性和可扩展性.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 医疗数据分析 医学数据分析
背景情况:
- 分布式计算提供了高效的多机构数据分析,避免了数据聚合的复杂性.
- 现有的联合学习 (FL) 方法缺乏必要的功能,如医疗标准,无代码可视化和强大的披露控制.
研究的目的:
- 开发和部署协作数据分析 (CODA) 平台,增强分布式数据分析能力.
- 通过结合医疗标准,先进的可视化和细分的披露控制来满足关键利益相关者的需求.
- 用公共卫生数据集来展示平台对多模式联合学习的实用性.
主要方法:
- 设计和开发了CODA平台,结合了通过利益相关者调查发现的功能.
- 使用MIMIC-IV和MIMIC-CXR数据集证明了多模式联合平均值.
- 通过在9家加拿大医院部署技术可行性和可扩展性进行评估,涉及超过100万名患者.
主要成果:
- 在2020年1月至2023年1月期间,CODA平台在加拿大公共卫生保健环境中成功开发和部署.
- 在9个参与站点中,有8个成功部署了该平台,注册了100多万名患者.
- 从传统系统到FHIR的数据映射是首要的实施挑战.
结论:
- CODA平台为医疗保健中的分布式,多机构数据分析提供了强大的解决方案.
- 在异质的IT环境中成功部署证明了平台的技术可行性和可扩展性.
- 未来的工作将集中在未来的模型验证和数据格式迁移工具 (FHIR/DICOM) 上.
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