The eICU Collaborative Research Database, a freely available multi-center database for critical care research
Tom Pollard, Alistair E. W. Johnson, Jesse D. Raffa, Leo Anthony Celi, Roger G. Mark, Omar Badawi
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.
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| IPython: A System for Interactive Scientific Computing | 2007 | 4,205 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| MIMIC-IV, a freely accessible electronic health record dataset | 2023 | 3,156 |
| Federated Learning for Healthcare Informatics | 2020 | 1,497 |
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Topics
| Machine Learning in Healthcare | Computer Science |
| Healthcare Technology and Patient Monitoring | Medicine |
| Sepsis Diagnosis and Treatment | Medicine |
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