Liver Cirrhosis Stage Prediction Using Machine Learning | Web App
Liver Cirrhosis Stage Prediction
| Project Name | Liver Cirrhosis Stage Prediction |
|---|---|
| Language/s Used | Python |
| Python Version (Recommended) | 3.x |
| Type | Web Application |
| Developer | UPDATEGADH |
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🎯 Project Objective
Liver cirrhosis is a serious and widespread condition, especially in North America, largely caused by chronic alcoholism and liver infections. This project focuses on predicting the stage of liver cirrhosis based on clinical and lifestyle factors.
Liver cirrhosis typically progresses through four stages:
- 🟢 Stage 1: Normal
- 🟡 Stage 2: Fatty Liver
- 🟠 Stage 3: Liver Fibrosis
- 🔴 Stage 4: Liver Cirrhosis
This system uses a machine learning model trained on real clinical data to predict the stage based on inputs provided by users, such as blood test results and health conditions.
📊 Key Features
✔️ Predicts liver disease stage from 1 to 4
✔️ User-friendly Web Interface built with Flask
✔️ Supports input of all major liver health metrics
✔️ Pre-trained Machine Learning model (scikit-learn)
✔️ StandardScaler pre-processing integrated
✔️ CSV-based backend (no external database needed)
✔️ Heroku deployed and accessible 24/7
✔️ Full project source code with model files included
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liver disease prediction using machine learning github
liver cirrhosis prediction using machine learning
liver cirrhosis prediction using machine learning github
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liver disease prediction using machine learning github
liver cirrhosis prediction system using random forest github
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liver disease prediction dataset
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