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Heart Disease Prediction

Dishanth P

Dishanth P

Bengaluru, Karnataka

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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

Intel Technologies
DevCloud, oneAPI

Docs/PDFs [1]Code Samples [1]Links [1]

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.

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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

Heart_disease_predict.pdf

Repository

https://github.com/Jimit17/Early-Heart-Disease-Prediction-using-AI-ML.git

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