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The Healthy Food Recommendation System for Pregnant Women Using the Certainty Factor Method provides an intelligent expert system that delivers personalized nutritional recommendations based on pregnancy-related symptoms. By implementing the Certainty Factor method, the system evaluates the level of confidence for each health condition and recommends healthy foods tailored to the user's needs.
The integration of administrator knowledge management, rule-based inference, interactive questionnaires, transparent Certainty Factor calculations, and PDF report generation creates a comprehensive decision support platform for nutritional consultation. Overall, the system improves access to personalized dietary guidance, supports healthcare professionals in providing consistent recommendations, and promotes healthier pregnancy outcomes through evidence-based nutritional advice.
Project Summary
The integration of administrator knowledge management, rule-based inference, interactive questionnaires, transparent Certainty Factor calculations, and PDF report generation creates a comprehensive decision support platform for nutritional consultation. Overall, the system improves access to personalized dietary guidance, supports healthcare professionals in providing consistent recommendations, and promotes healthier pregnancy outcomes through evidence-based nutritional advice.