MainakRepositor / Cardiac-Arrest-Predictor

Predicts the chances of occurrence of cardiac arrest in an individual using machine learning algorithms

Cardiac Arrest Predictor

Problem :

Heart Attack is a chronic health condition that affects how your heart pumps blood throughout your body. It is not a disease but a phenomena, where there are sudden cardiac arrests. Having healthy, low-cholesterol food, and being active can really help in reducing the chances of cardiac arrest.

Solution:

This Web app will help you to predict whether a person has chances of cardiac arrest or is prone to get it in future by analysing the values of several features using the Decision Tree Classifier.

Idea:

Building an application that can predict the occurrence of a cardiac arrest or the possible causes of it by indicating the highly relevant factors.

Layout

├───images
├───Tabs
│   └───__pycache__
|   └─── home.py
|   └─── data.py
|   └─── predict.py
|   └─── visualize.py
|   └─── about.py
└───__pycache__
└─── main.py
└─── web_functions.py
└─── requirements.txt
└─── Procfile
└─── setup.sh

Note:

Incase the application demo doesn't start real quick, you can get an idea about how it looks like from the screenshots

Made with 💙 by:

MAINAK CHAUDHURI