https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."
https://github.com/sunilvarma-l/liverdiseaseprediction

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 27 days ago
JSON representation

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

• Host: GitHub
• URL: https://github.com/sunilvarma-l/liverdiseaseprediction
• Owner: Sunilvarma-l
• Created: 2024-12-13T06:30:46.000Z (28 days ago)
• Default Branch: main
• Last Pushed: 2024-12-13T07:18:24.000Z (28 days ago)
• Last Synced: 2024-12-13T08:21:39.347Z (28 days ago)
• Topics: machine-learning, matplotlib, numpy, pandas, pickle, python, scikit-learn, seaborn, streamlit
• Language: Jupyter Notebook
• Homepage: https://liverdiseaseprediction-mu7peie8vyifkfkqy6nrny.streamlit.app/
• Size: 1.75 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Liver Disease Prediction App 🚀

This is a Streamlit web application for predicting liver diseases based on user input.

## 🎯 **About the Project**

The Liver Disease Prediction application uses patient data (age, gender, biochemical markers, etc.) to predict liver-related conditions like:

- **Cirrhosis**

- **Fibrosis**

- **Hepatitis**

- **No Disease**

The app is built with **Streamlit**, a fast and interactive web app framework for machine learning and data science.

---

## 🚀 **Live Deployment**

You can try the live deployed app here:  

👉 [**Live Streamlit App**](https://liverdiseaseprediction-mu7peie8vyifkfkqy6nrny.streamlit.app/)

---

# 📊 Technologies & Libraries Used

## Streamlit: Framework for creating interactive web applications.

## Numpy: Numerical computations.

## Pandas: Data manipulation.

## Scikit-Learn: Machine learning library.

## Pickle: Serialize/Deserialize model.

---

# ✨ Features

Predict liver diseases based on user-provided patient information.

User-friendly interactive interface powered by Streamlit.

Predictions include Cirrhosis, Fibrosis, Hepatitis, or No Disease.

---

# 🔗 Author

Sunil Varma

GitHub: https://github.com/Sunilvarma-l