30-day unplanned readmission or death classification metrics for evaluated models: XGBoost, Sparse logistic regression (LR), Bayesian neural network (BNN), our Piecewise exponential model (PEM).
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https://figshare.com/articles/dataset/30-day_unplanned_readmission_or_death_classification_metrics_for_evaluated_models_XGBoost_Sparse_logistic_regression_LR_Bayesian_neural_network_BNN_our_Piecewise_exponential_model_PEM_/25788595
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Quantization refers to the histogram-based bucketization of real-valued features. Area under the receiver operator curve (AUROC) and area under the precision-recall curve (AUPRC) computed on held-out 2012 inpatient episodes. Models trained on 2009–2011 episodes. Interpretability judged according to Fig 1.
创建时间：
2024-05-09
