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Specialized processing and analysis of high-granularity intensive care unit data and physiological waveforms.
Distinct from Extraction Data Structures: Focuses on the domain-specific processing of ICU clinical data rather than generic data structure definitions in a pipeline.
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mimic-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 extracts and analyzes patient-level clinical data using reproducible analysis scripts.