Project
Medications: more harm than good?
Predicting adverse drug reaction outcomes from patient demographics.
- When
- Feb 2024 — Apr 2024
- Status
- Complete
- Stack
- Python, scikit-learn
What I did
Used demographic characteristics to predict the outcomes of adverse drug reactions with the FDA Adverse Event Reporting System dataset and Python.
Performed exploratory data analysis to clean and reformat the data, identifying errors and new relationships between variables.
Trained three machine learning models (k-NN, random forest and SVM), using hyperparameter tuning to maximize the accuracy of the final model.