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multi-stage-modeling

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Faerque / AI-ML-Feasibility-Study-for-Anesthesia-Induction-Stage-Incorporating-Pharmacogenomic-Markers

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Machine learning feasibility study for anesthesia induction parameter prediction using multi-stage CatBoost models. Integrates pharmacogenomics, patient demographics, and clinical data with SHAP explainability for personalized anesthesia type selection, dosage calculation, and response prediction.

machine-learning supervised-learning hyperparameter-optimization classification ensemble-learning gradient-boosting catboost multi-stage-modeling
  • Updated Sep 29, 2025
  • Jupyter Notebook

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