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2 dépôts

Awesome GitHub RepositoriesClinical EHR Processing Tools

Utilities for transforming raw electronic health records into formats suitable for longitudinal analysis and machine learning.

Distinct from Clinical Documentation And EHR: Focuses on the processing and transformation of EHR data for research, whereas candidates focus on clinical documentation systems or AI agentic systems.

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

Awesome Clinical EHR Processing Tools GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • jtleek/datasharingAvatar de jtleek

    jtleek/datasharing

    6,737Voir sur GitHub↗

    This project is a research data sharing framework and provenance protocol designed to ensure computational reproducibility. It provides a standardized set of guidelines for transforming raw source data into tidy formats through documented processing scripts and cleaning workflows. The framework distinguishes itself by emphasizing a strict provenance-based packaging system. It requires the organization of raw data, processing recipes, and code books into a single package, ensuring that original unmodified sources are preserved to allow for independent verification of all transformation steps.

    Provides a delivery format that preserves original sources and analysis context for clinical research.

    Voir sur GitHub↗6,737
  • mit-lcp/mimic-codeAvatar de MIT-LCP

    MIT-LCP/mimic-code

    3,135Voir sur 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

    Provides a processing tool to transform raw electronic health records into formats suitable for longitudinal analysis and machine learning.

    Jupyter Notebookcritical-careicumimic-iii
    Voir sur GitHub↗3,135
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  • Research Delivery PackagingStandardized formats for packaging raw clinical data and processing recipes for research distribution. **Distinct from Clinical EHR Processing Tools:** Focuses on the overall delivery package structure for reproducibility, not just the transformation of EHR records.