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@IDEN-Project-UAS-Darmstadt

IDEN Project @ UAS Darmstadt

Ein interdisziplinärer Data-Science-Prozess zur effektiven Nutzbarmachung medizinischer Register- und Studiendaten

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  1. SurvAutoML SurvAutoML Public

    Automated ML pipeline for survival analysis on clinical/tabular time-to-event data — trains and evaluates Cox, DeepSurv, Random Survival Forests & Gradient Boosting with integrated MLflow tracking,…

    Python

  2. IPCWJK IPCWJK Public

    IPCW Jackknife Methods for Standard Errors in Survival Prediction

    R

  3. CensRCalc CensRCalc Public

    An R package for calculating and targeting expected censoring proportions in survival analysis, supporting covariate integration, administrative censoring, and trial accrual periods.

    R

  4. TxRegAnalysis TxRegAnalysis Public

    Reproducible analysis workflow for the German Transplant Registry (TxReg), constructing survival endpoints, engineered features, KDRI-inspired variables, and confounder analyses for adult first-tim…

    R

  5. TxRegIDPP TxRegIDPP Public

    Reproducible data preprocessing pipeline for German kidney transplantation registry data.

    Jupyter Notebook

  6. SurvAutoMLDeploy SurvAutoMLDeploy Public

    Jupyter Notebook 1

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