Heart Disease Predictor using KNN Algorithm and Flask Micro Web Framework

Nothing. Prediction Heart Disease

Requirements

• Python 3.6
• IDE (I use VScode)

Set Up

• Create an virtual enviroment and make sure to run inside it
• Run pip install -r requirements.txt
• Set the config.py for the database and etc.
• Create a database named corpe
• Place heart.csv inside instance directory or create the directory if not exist
• In python interpreter run

    from corpe import db, create_app
    db.create_all(app=create_app())

• Create config.py file

class Config(object):
    SECRET_KEY = # generate random key using: os.urandom(24)
    SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://username:password@database' # connect to database system

Set Up environment variables (Linux)

Set up environment variable from root project directory Set for development mode

export FLASK_ENV=development
export FLASK_APP=setup.py

Run

Run this command and access the web app at localhost:5000

flask run

Access localhost:5000/gen to seed admin
Access localhost:5000/gen-ds to seed datasets

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT