https://github.com/whis99/heart_disease_prediction
Web application using Flask and Machine Learning model to predict heart disease.
https://github.com/whis99/heart_disease_prediction
bootstrap dataset flask heart-disease-prediction machine-learning python
Last synced: 6 months ago
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Web application using Flask and Machine Learning model to predict heart disease.
- Host: GitHub
- URL: https://github.com/whis99/heart_disease_prediction
- Owner: Whis99
- Created: 2023-03-02T21:15:24.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2023-03-05T01:01:35.000Z (over 3 years ago)
- Last Synced: 2025-01-13T04:42:43.656Z (over 1 year ago)
- Topics: bootstrap, dataset, flask, heart-disease-prediction, machine-learning, python
- Language: Jupyter Notebook
- Homepage:
- Size: 202 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Heart_Disease_Prediction
**Heart_Disease_Prediction** is a web application using Flask framework, python, Machine Learning and the heart disease
dataset provided by the *UCI Machine Learning Repository*. By training our dataset, we are using 13 medical features
that allow us to predict whether or not the user is possible to have a heart disease.
## User Stories
The following functionality is completed:
- [x] User can enter the medical features.
- [x] Predict button send the medical datas to the machine learning model.
- [x] The machine learning model predict the datas and shows the result based on its model.
## Demonstration
## Open-source ressources used
- [Flask](https://flask.palletsprojects.com/en/2.2.x/)
- [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/index.php)
- [Boostrap](https://getbootstrap.com)
- [Kaggle](https://www.kaggle.com/)
- [Numpy](https://numpy.org/)
- [Scikit-learn](https://scikit-learn.org/stable/)
- [Pandas](https://pandas.pydata.org/)
- [Matplotlib](https://matplotlib.org/)
- [Seaborn](https://seaborn.pydata.org/)