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AI-ML-feasibility-Anesthesia-Induction-stage

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.

catboost classification ensemble-learning gradient-boosting hyperparameter-optimization machine-learning multi-stage-modeling supervised-learning

Creat：2025-05-04T21:02:38

Update：2025-09-26T12:18:46

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