GitHub - BeingSreesh/Heart_disease_prediction_using_ML: Healthcare is an important task to be performed in human life. CVD is the category to which the diseases affecting the heart and blood vessels are included. The methods used before for forecasting the CVD helped in reducing the risks in high risk patients. The health care industry contains lots of medical data, so machine learning algorithms are made use to efficiently predict the heart diseases decisions. We classify the attributes for prediction and decision making at different levels. The performance is based on classification, accuracy, sensitivity. This project proposes a Machine learning model to predict whether a person has a chance of suffering from any CVD or not and to provide an awareness and diagnosis. This is done by applying algorithms of machine learning for classification and prediction. Some of the algorithms we are using here are-K-NN (Nearest Neighbor), Support Vector Machine(SVM), Random forest.

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Healthcare is an important task to be performed in human life. CVD is the category to which the diseases affecting the heart and blood vessels are included. The methods used before for forecasting the CVD helped in reducing the risks in high risk patients. The health care industry contains lots of medical data, so machine learning algorithms are…

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Name		Name	Last commit message	Last commit date
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assets		assets
heartdisease		heartdisease
prediction		prediction
static		static
templates		templates
.gitattributes		.gitattributes
127.0.0.1.html		127.0.0.1.html
db.sqlite3		db.sqlite3
manage.py		manage.py