Intelligent Healthcare
Symptom Analysis System
Accurate, timely diagnosis is hard to get in regions with limited medical infrastructure. IntelliHealthcare analyzes patient-reported symptoms with a trained classification model and separately screens clinical report values for heart disease risk — giving doctors and patients a fast, structured second opinion instead of a guess.
From symptoms to a structured result
1. Input collection
The patient selects reported symptoms from a curated list, or enters clinical values (BP, cholesterol, ECG) for the heart module.
2. Model inference
A Decision Tree classifier maps the symptom vector to a condition; a Random Forest classifier scores heart disease risk from the clinical inputs.
3. Guided output
Results are returned with an urgency label (emergency / see a doctor / self-care) so the next step is always clear.