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Using relational query languages to extract and aggregate cohorts from healthcare databases.
Distinct from Distributed SQL Querying: Candidates focus on logic-based, distributed, or hybrid graph queries, not standard SQL for clinical cohort extraction.
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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
Uses relational query languages to extract and aggregate cohorts from healthcare databases.