ANFIS-Based Liver Disease Prediction Using Fuzzy Inference System

Overview

This project implements Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict liver disease using the Indian Liver Patient Dataset (ILPD).

The goal of this project is to demonstrate how fuzzy logic and neural learning can be combined to build interpretable medical decision systems.

Two models are implemented:

• Rule-based Fuzzy Inference System (FIS) • Data-driven Adaptive Neuro-Fuzzy Inference System (ANFIS)

Their performance is evaluated and compared on a medical dataset.

---

Dataset

The project uses the Indian Liver Patient Dataset (ILPD) from the UCI Machine Learning Repository.

Features include:

• Age
• Gender
• Total Bilirubin
• Direct Bilirubin
• Alkaline Phosphatase
• Albumin
• Albumin and Globulin Ratio

Target variable:

1 → Liver Disease
0 → Normal

---

Project Workflow

1. Data preprocessing and normalization
2. Feature selection
3. Fuzzy membership function design
4. Rule-based FIS implementation
5. ANFIS model training
6. Performance comparison

---

Fuzzy Inference System (FIS)

The FIS model uses expert-defined rules with triangular membership functions.

Key Components

• Linguistic variables
• Membership functions
• Rule base
• Mamdani inference
• Defuzzification

FIS Architecture

![FIS Architecture]

---

ANFIS Architecture

The ANFIS model combines neural networks with fuzzy logic.

Five-Layer Structure

Layer 1 – Fuzzification Layer 2 – Rule Layer Layer 3 – Normalization Layer 4 – Consequent Layer Layer 5 – Output Layer

![ANFIS Architecture]

![ANFIS Network Architecture](

)

Results

The models were evaluated using:

• Accuracy
• Precision
• Recall
• F1 Score
• ROC Curve

---

Technologies Used

• Python
• NumPy
• Pandas
• Scikit-Learn
• Scikit-Fuzzy
• Matplotlib
• Seaborn

---

Key Insight

The ANFIS model outperforms the traditional rule-based FIS because it can automatically learn optimal parameters from data while preserving fuzzy interpretability.

---

How to Run

Clone the repository

git clone https://github.com/fatimasood/anfis-liver-disease-prediction.git

Install dependencies

pip install -r requirements.txt

Run the notebook

jupyter notebook notebooks/liver_disease_fis_anfis.ipynb

Note: The objective of this project was learning Fuzzy Inference System (FIS) and an AdaptiveNeuro-Fuzzy Inference System (ANFIS) not to acheive high accuracy....