Festag Sven, Spreckelsen Cord
Department of Medical Informatics, Medical Faculty, RWTH Aachen University.
Stud Health Technol Inform. 2019 Sep 3;267:134-141. doi: 10.3233/SHTI190817.
We developed a tool based on the KNIME analytics platform for the extraction and visualisation of medical time series stored in the Medical Information Mart for Intensive Care III (MIMIC III) and the related MIMIC-III Waveform Database Matched Subset. The large number of data points and the free accessibility make these data sets an attractive source for data-driven projects in the medical domain. The problem that we tackled with our tool was the lack of an easy and extensible way of selecting, reading, and visualising stored time series. Especially the fact that medical data science projects are often conducted by interdisciplinary teams called for a software solution that can be utilised by medical practitioners without programming experiences and that still offers enough flexibility for data scientists.
我们基于KNIME分析平台开发了一种工具,用于提取和可视化存储在重症监护医学信息库III(MIMIC III)及相关的MIMIC-III波形数据库匹配子集中的医学时间序列。大量的数据点以及免费获取的特性,使得这些数据集成为医学领域数据驱动项目的一个有吸引力的来源。我们的工具所解决的问题是,缺乏一种简单且可扩展的方式来选择、读取和可视化存储的时间序列。特别是医学数据科学项目通常由跨学科团队开展,这就需要一种软件解决方案,供没有编程经验的医学从业者使用,同时仍为数据科学家提供足够的灵活性。