🏥 AI Hospital Queue Management System (ML-Powered)
This system uses Machine Learning to intelligently prioritize patients based on age and critical symptoms.
📝 Patient Registration
Current Queue (Sorted by Priority)
ℹ️ Model Information
🤖 ML Model Information
Model Type: RandomForestClassifier Training Accuracy: 92.38% Test Accuracy: 91.10%
Features Used:
- age
- has_critical_symptom
- has_medium_symptom
- is_elderly
- is_child
- is_infant
- age_normalized
- symptom_word_count
Priority Levels:
- 1 (HIGH): Critical symptoms requiring immediate attention
- 2 (MEDIUM): Moderate symptoms or elderly/infant patients
- 3 (LOW): Minor symptoms that can wait
Critical Symptoms: chest pain, shortness of breath, bleeding, unconscious, severe pain, heart attack, stroke, seizure, difficulty breathing
📊 Example Symptoms
High Priority:
- chest pain
- shortness of breath
- severe bleeding
- unconscious
- heart attack
Medium Priority:
- high fever
- moderate pain
- vomiting
- fracture
- allergic reaction
Low Priority:
- cold
- minor headache
- cough
- rash
- check-up