Stats IntelliHealthcare
Accuracy computed from a held-out test split each time the models are retrained.
Symptom Disease Detector
83.3%
15 diseases supported
49 tracked symptoms
Model: Decision Tree Classifier
Heart Disease Detector
80.0%
13 clinical input features
Model: Random Forest Classifier
Requires a recent medical report for accurate results.
91.6%
Project completion
< 2s
Average response time per request
95%
Output correctness (manual validation)