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Heart Disease Prediction

Priyal Dangi

Priyal Dangi

Bengaluru, Karnataka

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Basically, this model includes patient diagnoses for those with heart problems. This AI/ML model is to predict wether a person is with heart disease or not. Here, we explore datasets with different no. of attributes required for prediction using a number of different visualization techniques. ...learn more

Project status: Under Development

oneAPI, Artificial Intelligence

Intel Technologies
oneAPI

Code Samples [1]Links [1]

Overview / Usage

#Artifiial intelligence #pickle #openapi # oneDAL

Basically, this model includes patient diagnoses for those with heart problems. This AI/ML model is to predict wether a person is with heart disease or not.

Here, we explore datasets with different no. of attributes required for prediction using a number of different visualization techniques. Create ML models  of supervised learning of all kinds that can be used to determine if a patient has heart disease or not. Export the best model and forecast into a text file. Then with pickle library, saved the models inot .pkl files. Next, we used oneDAL library/tool for data analysis of the various models Took into consideration the best model. Then make the prediction of the disease

Methodology / Approach

K-Nearest Neighbour (KNN), Support Vector Machine (SVM), Gaussian Naive Bayes, Decision Tree, Random Forest, Logistic Regression Gradient Boosting, and XGBoost

Repository

https://github.com/Priyal-Dangi/Heart-disease-prediction.git

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