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risk-of-heart-failure-using-machine-learning

Cardiovascular diseases are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worlwide.

Early detection can be a great way to manage this Risk , and this is where a machine learning model comes in.

For the purpose of predicting the risk of a heart failure in patients, I used the Logistic Regression Classifier to build a machine learning model,The accuracy of the Model is 97.7%, and deployed it using Flask and Heroku. You can use the deployed model at : https://www.software-eng.net/

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