AI-Based Symptom Analysis System for Intelligent Medical Specialist Recommendation with Severity Assessment and Smart Scheduling

Key Points

• This work aims to develop a healthcare system that intelligently recommends medical specialists based on patient symptoms.
• Applied TF-IDF feature extraction for symptom analysis.
• Compared performance of Naïve Bayes, SVM, and Random Forest models.
• Implemented severity assessment and smart scheduling features.
• Naïve Bayes model outperformed SVM and Random Forest in symptom analysis accuracy.