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This project aims to make predictions of stroke cases based on simple health data. Supervised machine learning algorithm was used after processing and analyzing the data. The model has predicted Stroke cases with 92.00% of sensitivity.

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data-science ehr-data electronic-health-record healthcare-data imbalanced-data machine-learning python stroke-prediction supervised-machine-learning

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