Lung Cancer Predictor

Problem :

A cancer that begins in the lungs and most often occurs in people who smoke. Two major types of lung cancer are non-small cell lung cancer and small cell lung cancer. Causes of lung cancer include smoking, second-hand smoke, exposure to certain toxins and family history. Symptoms include a cough (often with blood), chest pain, wheezing and weight loss. These symptoms often don't appear until the cancer is advanced. Treatments vary but may include surgery, chemotherapy, radiation therapy, targeted drug therapy and immunotherapy.

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
└───__pycache__
└─── main.py
└─── LC.csv
└─── 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