Aniket11007 / Heart_Disease_prediction-WebApp

The objective of this project is to detect whether person has any chance of heart disease or not by giving number of features to person with having maximum accuracy of above 97%. By Using Machine learning algorithms and deep learning are applied to compare the results and analysis of the UCI Machine Learning Heart Disease dataset.

MedX-Heart Disease Prediction Webapp

About

The objective of this project is to detect whether the person has any chances of heart disease or not by giving number of features to patients with having maximum accuracy of above 97%. By Using Machine learning algorithms and deep learning are applied to compare the results and analysis of the UCI Machine Learning Heart Disease dataset.

DEMO -:

👉 https://med-x-webapp.herokuapp.com/

Accuracy of the Models and Algorithms Used

Sr no	Algorithm Used	Accuracy
1	K - Nearest Neighbor	97.82%
2	Random Forest	86.95 %
3	Ada Boost With Random Forest	93.47 %
4	Gradient Boosting	89.91%

👩‍💻 Technology Used

Tools

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Application UI

Home Page

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Form Details

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Prediction Result- Person with Heart Disease

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Prediction Result- Person Who don't have Heart Disease

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Steps to Run the Website on your System:

-Fork the repository

• Clone or download the repo.
• Open command prompt in the downloaded folder.
• Create a virtual environment.

virtualenv environment_name

• Activate the New Environment

source environment_name/bin/activate

• Install the Dependencies.

pip install -r requirements.txt

• Run the Flask App.

python app.py

If You like ❤ the project ,Please ⭐ This Repository .