Predicting the physiological effects of multiple drugs using electronic health record
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Supplementary Data 1. Optimized hyperparameters of XGBoost classifiers for the 20 selected measurement items. Supplementary Data 2. Information on 416 active pharmaceutical ingredients used to develop machine learning models for the 20 selected measurement items. Supplementary Data 3. List of top 20 features with the highest feature importance for each type of machine learning models according to the SHAP analysis (Fig. 4). Numbers such as “1801186” and “1362055” are APIs presented using the old version of RxCUI.
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Zenodo创建时间：
2024-07-11
