medical-diagnosis-colab/
├── modules/                    # Core modules
│   ├── __init__.py
│   ├── knowledge_base.py      # Knowledge Base (diseases, symptoms, rules, semantic network)
│   ├── bayesian_reasoner.py   # Bayesian reasoning (Bayes' Theorem, Laplace smoothing)
│   ├── astar_search.py        # A* Search algorithm for diagnosis traversal
│   ├── ml_model.py            # ML models (Decision Tree + Neural Network with GridSearch)
│   ├── evaluator.py           # Evaluation metrics (Accuracy, Precision, Recall, F1)
│   └── ethics_layer.py        # Ethics (privacy, explainability, accountability)
├── data/                       # Dataset directory
│   └── dermatology_sample.csv # Sample data (full data auto-downloaded)
├── run_system.py               # Main runner script
├── download_data.py            # Dataset downloader (UCI repo + fallback)
├── medical_diagnosis_colab.py # Colab notebook cells
├── requirements.txt           # Python dependencies
└── README.md                   # This file

Knowledge Base ──→ Bayesian Reasoner ──→ A* Search
       │                  │                   │
       └──────────┬───────┘───────────────────┘
                  ↓
          ML Module (Decision Tree + Neural Network)
                  │
                  ├──→ Evaluator (metrics comparison)
                  └──→ Ethics Layer (privacy, audit, explainability)