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Awesome GitHub RepositoriesStay Timeline Monitoring
Tracking the chronological sequence of patient movements and transitions between clinical units.
Distinct from Length of Stay Calculations: Distinct from Length of Stay Calculations by focusing on the sequence and locations of transitions rather than just the total duration.
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Awesome Stay Timeline Monitoring GitHub Repositories
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- mit-lcp/mimic-code
MIT-LCP/mimic-code
3,135GitHub पर देखेंmimic-code is a clinical data analysis framework and toolset for processing deidentified electronic health records and intensive care unit data. It provides a healthcare SQL query library and a processing tool to transform raw health records into formats suitable for longitudinal analysis and machine learning. The project features a medical research notebook environment that integrates with cloud-hosted datasets, allowing for remote querying and analysis. It includes a DICOM imaging pipeline to retrieve chest radiographs and link medical imaging with structured clinical metadata. The framewo
MIMIC-IV captures the duration and location of critical care stays by tracking unit transitions.
Jupyter Notebookcritical-careicumimic-iii
