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The eICU Collaborative Research Database, a freely available multi-center database for critical care research
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132188/ https://www.ncbi.nlm.nih.gov/pubmed/30204154 http://dx.doi.org/10.1038/sdata.2018.178 |
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author | Pollard, Tom J. Johnson, Alistair E. W. Raffa, Jesse D. Celi, Leo A. Mark, Roger G. Badawi, Omar |
author_facet | Pollard, Tom J. Johnson, Alistair E. W. Raffa, Jesse D. Celi, Leo A. Mark, Roger G. Badawi, Omar |
author_sort | Pollard, Tom J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6132188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-61321882018-09-17 The eICU Collaborative Research Database, a freely available multi-center database for critical care research Pollard, Tom J. Johnson, Alistair E. W. Raffa, Jesse D. Celi, Leo A. Mark, Roger G. Badawi, Omar Sci Data Data Descriptor 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. Nature Publishing Group 2018-09-11 /pmc/articles/PMC6132188/ /pubmed/30204154 http://dx.doi.org/10.1038/sdata.2018.178 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Pollard, Tom J. Johnson, Alistair E. W. Raffa, Jesse D. Celi, Leo A. Mark, Roger G. Badawi, Omar The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
title | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
title_full | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
title_fullStr | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
title_full_unstemmed | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
title_short | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
title_sort | eicu collaborative research database, a freely available multi-center database for critical care research |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132188/ https://www.ncbi.nlm.nih.gov/pubmed/30204154 http://dx.doi.org/10.1038/sdata.2018.178 |
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