eICU-CRD
N/A
GitHub Stars
N/A
Open Issues
N/A
Docker Support
N/A
Last Updated
Technical Summary
The eICU Collaborative Research Database (eICU-CRD) is a large multi-center critical care database made available by Philips Healthcare in partnership with the MIT Laboratory for Computational Physiology.
Key Capabilities
- Multi-Center Diversity: Unlike MIMIC-IV which is from a single medical center, eICU-CRD contains data from over 200 hospitals across the United States, allowing researchers to build robust models that generalize across different clinical practices.
- High-Resolution Time Series: Includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, and treatment data.
- Relational Structure: Available as a fully relational database for efficient querying and extraction.
Usage in Healthcare
eICU-CRD is crucial for evaluating the generalizability of machine learning models in healthcare. Access is provided through PhysioNet and requires completion of human subjects research training and a signed data use agreement.
Model Card Details
Intended Use Cases
Predictive modeling, federated learning across different hospitals, and clinical decision support algorithms.
Training Data
Multi-center database comprising de-identified health data associated with over 200,000 admissions to ICUs across the United States.