The eICU Collaborative Research Database, a freely available multi-center database for critical care research.
The eICU Collaborative Research Database, a freely available multi-center database for critical care research.
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DOI：
10.1038/sdata.2018.178
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发表时间：
2018-09-11
期刊：
影响因子：
9.8
通讯作者：
Badawi O
中科院分区：
文献类型：
--
作者：
Pollard TJ;Johnson AEW;Raffa JD;Celi LA;Mark RG;Badawi O
重症监护病人在整个病程中受到密切监测。作为这种监测的结果，常规收集这些患者的大量数据。Philips Healthcare开发了一个远程医疗系统eICU计划，利用这些数据来支持重症患者的管理。在这里，我们描述了eICU协作研究数据库，这是一个多中心重症监护病房（ICU）数据库，具有由美国各地的eICU项目监测的超过200，000例ICU入院患者的高粒度数据。该数据库是去识别的，包括生命体征测量、护理计划文档、疾病严重程度测量、诊断信息、治疗信息等。数据在注册后公开，包括完成与人类受试者的研究培训课程，并签署数据使用协议，规定负责任地处理数据并遵守合作研究的原则。这些数据的免费性质将支持许多应用程序，包括机器学习算法，决策支持工具和临床研究的开发。
Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected for these patients. Philips Healthcare has developed a telehealth system, the eICU Program, which leverages these data to support management of critically ill patients. Here we describe the eICU Collaborative Research Database, a multi-center intensive care unit (ICU)database with high granularity data for over 200,000 admissions to ICUs monitored by eICU Programs across the United States. The database is deidentified, and includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, treatment information, and more. Data are publicly available after registration, including completion of a training course in research with human subjects and signing of a data use agreement mandating responsible handling of the data and adhering to the principle of collaborative research. The freely available nature of the data will support a number of applications including the development of machine learning algorithms, decision support tools, and clinical research.
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DOI：
10.1109/jproc.2015.2501978
发表时间：
2016-02
期刊：
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
影响因子：
--
作者：
Johnson AE;Ghassemi MM;Nemati S;Niehaus KE;Clifton DA;Clifford GD
通讯作者：
Clifford GD
影响因子：
8.8
作者：
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Mark RG
影响因子：
3.5
作者：
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通讯作者：
Wyllie, David H.
影响因子：
3.5
作者：
Neamatullah, Ishna;Douglass, Margaret M.;Clifford, Gari D.
通讯作者：
Clifford, Gari D.
影响因子：
9.6
作者：
Lilly, Craig M.;McLaughlin, John M.;Irwin, Richard S.
通讯作者：
Irwin, Richard S.