IMPatienT:一个集成的Web应用程序来数字化,处理和探索多式模式的PATIENt dataTa.
Corentin Meyer1, Norma Beatriz Romero2, Teresinha Evangelista2
1Complex Systems and Translational Bioinformatics (CSTB), ICube Laboratory, UMR 7357, University of Strasbourg, Strasbourg, France.
Journal of neuromuscular diseases
|May 3, 2024
概括
本研究介绍了IMpatienT,一个开源的Web应用程序,用于整合和分析多式联络患者数据,包括图像和文本. 它通过提供统一的数据处理和探索平台,帮助研究和诊断.
科学领域:
- 生物医学信息学 生物医学信息学
- 数字健康数字健康
- 医疗数据分析 医学数据分析
背景情况:
- 医学成像和报告产生多模式患者数据 (图像,文本),对于研究和诊断至关重要.
- 目前的分析工具是根据数据类型,任务和研究领域进行碎片化的,这阻碍了数据的利用.
- 需要综合解决方案来有效管理和分析各种患者数据.
研究的目的:
- 开发IMpatienT,一个灵活的,开源的网络应用程序,用于数字化,处理和探索多式联络患者数据.
- 解决医学研究中数据分析工具的碎片化问题.
- 为了促进诊断决策支持和患者登记功能.
主要方法:
- 开发了一个模块化架构的IMpatienT,用于数据集成和分析.
- 启用了域特定词汇库的创建,用于标准化数据表示.
- 集成的功能用于自由文本处理,图像注释和细分.
- 包括可视化仪表板和诊断决策支持功能.
主要成果:
- 在40个模拟的先天性肌肉病变肌肉活检报告上的用例中证明了IMpatienT的实用性.
- 通过可定制的词汇表,展示了该应用程序对不同研究领域的适应性.
- 验证了IMPatienT的探索性数据分析能力和作为患者登记册的潜力.
结论:
- IMPatienT提供了一个统一的,灵活的,开源的解决方案,用于多式联络患者数据分析.
- 该应用程序支持各种医学领域的研究,诊断和患者数据管理.
- IMPatienT可以适应各种研究需求,增强复杂患者数据的利用.
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