Lung Cancer Prediction Web App

Description
This project is a web app that predicts the likelihood of lung cancer based on various risk factors.

Table of Contents

• Installation
• Usage
• Screenshots
• Technologies Used
• Model Information
• References

Installation

1. Clone the repository.
2. Install the required dependencies using pip install -r requirements.txt.
3. Run the web app using streamlit run lungcancerpred_webapp.py.

Usage

1. Open the web app in your browser.
2. Enter the patient's details in the input fields.
3. Click on the "Predict" button to get the lung cancer prediction.

Technologies Used

• Python
• Streamlit
• Pandas
• Scikit-learn

Model Information

The lung cancer prediction model was trained on a dataset of patient records and achieved an accuracy of 90%.

References

1. Dataset source: [https://www.kaggle.com/datasets/thedevastator/cancer-patients-and-air-pollution-a-new-link]