A rule-based expert system prototype for early skin lesion risk screening, using Forward Chaining and Certainty Factor. Student project, not a medical tool.
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Updated
Aug 17, 2026 - Python
A rule-based expert system prototype for early skin lesion risk screening, using Forward Chaining and Certainty Factor. Student project, not a medical tool.
A comprehensive collection of symbolic AI and expert systems implementations. Featuring Rule-Based Diagnosis (Certainty Factors), Case-Based Reasoning (CBR) with NLP similarity, and Intelligent Filtering Agents. Bridging the gap between human logic and computational reasoning
Hybrid Certainty Factor-XGBoost approach for cyberattack detection on TON_IoT dataset
Rule-based expert system for preliminary sleep disorder risk diagnosis using Hybrid Chaining (Forward + Backward) and Certainty Factor theory, deployed as a Streamlit web app.
Backend ini adalah inference engine untuk sistem pakar diagnosis awal Infeksi Saluran Pernapasan Akut (ISPA). Menggabungkan tiga metode yaitu Knowledge Acquisition (dari dataset), Forward Chaining (filter kandidat penyakit), dan Certainty Factor MYCIN (hitung tingkat keyakinan diagnosis).
🕵️ AI expert system that diagnoses car faults using Certainty Factor inference — 73 rules, 6 vehicle systems, built with Python & Streamlit
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