WenboSheng / vte-modeling-at-admission

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vte-modeling-at-admission

Demo codes for the paper Development and validation of machine learning models for venous thromboembolism risk assessment at admission: a retrospective study

  • model_training.ipynb: Model training, including hyper-parameter tuning, feature selection, and calibration, etc.
  • model_evaluation.ipynb: Model evaluation, figures and tables in the paper.

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Language:Jupyter Notebook 95.3%Language:Python 4.7%