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Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

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  1. aphp/edsteva aphp/edsteva Public

    EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.

    Python 13

  2. aphp-datascience/study-adjusting-progressive-digitization aphp-datascience/study-adjusting-progressive-digitization Public

    This repositoy contains the computer code that has been executed to generate the results of the article: "Adjusting for the progressive digitization of health records: working examples on a multi-h…

    HTML

  3. aphp/edsnlp aphp/edsnlp Public

    Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

    Python 117 30

  4. aphp/edstuto aphp/edstuto Public

    A variety of tutorials introducing some issues related to the analysis of health real world data available for researchers in clinical data warehouses.

    Jupyter Notebook 5

  5. aphp/eds-scikit aphp/eds-scikit Public

    eds-scikit is a Python library providing tools to process and analyse OMOP data

    Python 37 5

  6. MscProjectNMR MscProjectNMR Public

    Resolution of NMR signals using deep neural networks

    Jupyter Notebook 1