Mohammad Adibuzzaman, Ken Musselman, Alistair Johnson, Paul Brown, Zachary Pitluk, Ananth Grama
{"title":"Closing the Data Loop: An Integrated Open Access Analysis Platform for the MIMIC Database.","authors":"Mohammad Adibuzzaman, Ken Musselman, Alistair Johnson, Paul Brown, Zachary Pitluk, Ananth Grama","doi":"10.23919/CIC.2016.7868698","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":" ","pages":"137-140"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.23919/CIC.2016.7868698","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computing in cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/CIC.2016.7868698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/3/2 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
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.
我们描述了一种新的模式,用于协作访问、探索和分析用于转化临床研究的重症监护医学信息市场- III (MIMIC III)数据库。提出的模型解决了在护理点的数据收集和转化临床研究之间的重大脱节。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)和可视化等问题。该平台具有通用性,可以很容易地适应其他数据库。预打包的分析工具包易于扩展,并支持多语言支持。该平台可以很容易地在其他位置进行联合和镜像,并支持用于服务组合和扩展的RESTful API。