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Akash Goyal
Karnataka
Heart Disease Prediction
This is a heart disease prediction application which helps the doctors make informed decision about the heart disease of their patient’s. This application uses machine learning algorithms to analyse patient data and predict the likelihood of developing heart disease. ...learn more
Project status: Under Development
oneAPI, Artificial Intelligence, Cloud
Overview / Usage
This application while help the doctors make informed decision about the heart disease of their patient’s. This application uses machine learning algorithms to analyse patient data and predict the likelihood of developing heart disease. The application takes into account various factors such as Age, sex, chest pain, resting blood pressure, Serum Cholesterol level, fbs (fasting blood sugar), resting electrocardiographic , maximum heart rate achieved, exercise induced angina, oldpeak (ST depression induced by exercise relative to rest), the slope of the peak exercise ST segment, number of major vessels (0-3) colored by fluoroscopy and Thalassemia. This application can help doctor avoid wasting time in conduct unnecessary tests.
Methodology / Approach
- Imported essential libraries
- Understand the data
- Create a Correlation and visualize it
- Train the model using Intel oneDAL to get better results and faster computation (Intel oneAPI Data Analytics Library (oneDAL))
- Train Test split
- Model Fitting
- Save the model
Technologies Used
- Intel Devcloud
- oneDAL
Documents and Presentations
Repository
https://github.com/Jimit17/Early-Heart-Disease-Prediction-using-AI-ML.git
