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GitHub / ricardoamferreira / Predicting-Adverse-Drug-Reactions-with-Machine-Learning

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ricardoamferreira%2FPredicting-Adverse-Drug-Reactions-with-Machine-Learning

Stars: 23
Forks: 14
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 27 MB
Dependencies parsed at: Pending

Created at: about 6 years ago
Updated at: 7 months ago
Pushed at: over 1 year ago
Last synced at: 6 months ago

Topics: adverse-drug-reaction, imbalanced-learning, machine-learning, rdkit, scikit-learn, xgboost

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