Adibuzzaman Mohammad, Musselman Ken, Johnson Alistair, Brown Paul, Pitluk Zachary, Grama Ananth
Regenstrief Center for Healthcare Engineering, Purdue University, West Lafayette, USA.
Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, USA.
Comput Cardiol (2010). 2016 Sep;43:137-140. doi: 10.23919/CIC.2016.7868698. Epub 2017 Mar 2.
We describe a new model for collaborative access, exploration, and analyses of the Medical Information Mart for Intensive Care - III (MIMIC III) database for translational clinical research. The proposed model addresses the significant disconnect between data collection at the point of care and translational clinical research. It addresses problems of data integration, preprocessing, normalization, analyses (along with associated compute back-end), and visualization. The proposed platform is general, and can be easily adapted to other databases. The pre-packaged analyses toolkit is easily extensible, and allows for multi-language support. The platform can be easily federated, mirrored at other locations, and supports a RESTful API for service composition and scaling.
我们描述了一种用于重症监护医学信息集市-III(MIMIC III)数据库的协作访问、探索和分析的新模型,用于转化临床研究。所提出的模型解决了医疗护理点数据收集与转化临床研究之间的重大脱节问题。它解决了数据集成、预处理、规范化、分析(以及相关的计算后端)和可视化问题。所提出的平台具有通用性,可轻松适配其他数据库。预打包的分析工具包易于扩展,并支持多语言。该平台可轻松联合,在其他地点镜像,并支持用于服务组合和扩展的RESTful API。