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The objective of this work is to develop machine learning (ML) methods that can accurately predict adverse drug reactions (ADRs) using the databases SIDER and OFFSIDES.

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Predicting Adverse Drug Reactions with Machine Learning

The objective of this work was to develop machine learning methods that could accurately predict adverse drug reactions using the SIDER and OFFSIDEs databases.

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The objective of this work is to develop machine learning (ML) methods that can accurately predict adverse drug reactions (ADRs) using the databases SIDER and OFFSIDES.

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machine-learning scikit-learn xgboost rdkit imbalanced-learning adverse-drug-reaction

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