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@Pacmed

Pacmed

Developing machine-learning-driven decision support tools in medicine and healthcare.

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  1. ehr_ood_detection ehr_ood_detection Public

    Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.

    Jupyter Notebook 21 2

  2. aisg_2019 aisg_2019 Public

    Code used for Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications

    Jupyter Notebook 3 4

  3. sensible-local-interpretations sensible-local-interpretations Public

    Uncertainty via weighting different classes.

    HTML 3 1

  4. tsfresh tsfresh Public

    Forked from blue-yonder/tsfresh

    Automatic extraction of relevant features from time series:

    Jupyter Notebook 2 1

  5. shap shap Public

    Forked from shap/shap

    A unified approach to explain the output of any machine learning model.

    Jupyter Notebook 2

  6. invasive_bp_icu_datathon_milan invasive_bp_icu_datathon_milan Public

    Accurate prediction of central blood pressure from radial blood pressure in the Intensive Care Unit

    Jupyter Notebook 2 3

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