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2 repositorios

Awesome GitHub RepositoriesClinical Dataset Access

Providing structured access to electronic health records, including waveforms and medical notes.

Distinct from Clinical Summary Generation: Existing candidates focus on diagnostic agents or specific EHR documentation, not the general retrieval of a structured research dataset.

Explore 2 awesome GitHub repositories matching data & databases · Clinical Dataset Access. Refine with filters or upvote what's useful.

Awesome Clinical Dataset Access GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • mit-lcp/mimic-codeAvatar de MIT-LCP

    MIT-LCP/mimic-code

    3,135Ver en GitHub↗

    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

    Enables retrieval of structured health records and diagnostic waveforms across specialized clinical modules.

    Jupyter Notebookcritical-careicumimic-iii
    Ver en GitHub↗3,135
  • nroduit/weasisAvatar de nroduit

    nroduit/Weasis

    1,270Ver en GitHub↗

    Weasis is a professional medical imaging platform designed for the visualization, analysis, and integration of clinical studies. It functions as a modular framework that supports the rendering of diverse medical data, including multi-modal images, 3D volumes, segmentations, and structured reports. By utilizing standardized protocols, the platform serves as a comprehensive viewer that connects directly to hospital archives and clinical information systems. The platform distinguishes itself through a highly extensible, plugin-based architecture that allows developers to integrate custom tools,

    Connects medical imaging viewers to hospital archives and clinical portals to enable seamless access to patient studies.

    Javadicomdicom-imagedicom-image-viewer
    Ver en GitHub↗1,270
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  3. Clinical Dataset Access

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  • PACS Integration ServicesConnects imaging viewers to hospital archives and clinical portals for seamless study access. **Distinct from Clinical Dataset Access:** Distinct from clinical dataset access: focuses on the integration of viewers with PACS archives rather than research dataset retrieval.