๐Ÿฉบ Diabetes Risk Assessment

Advanced ML prediction using XGBoost and patient clustering

Patient Information

๐Ÿ“‹ Demographics

Total number of pregnancies (0 if male or never pregnant)
Patient's age in years

๐Ÿ”ฌ Clinical Measurements

Fasting blood glucose level (normal: 70-100)
Diastolic blood pressure (normal: 60-80)
2-hour serum insulin (0 if not measured)

๐Ÿ“ Physical Measurements

Weight (kg) / Heightยฒ (mยฒ) - Normal: 18.5-24.9
Triceps skin fold thickness (0 if not measured)

๐Ÿงฌ Genetic Risk Factor

Family history score (0.0-2.5, higher = more family history)

Analysis Results

Risk Level

--

Probability of Diabetes

High Confidence

๐ŸŽฏ Patient Profile

0

Cluster Name

Cluster description

๐Ÿ“Š Interpretation

Your results will appear here...

๐Ÿ’ก Recommendations

๐Ÿ“ˆ Feature Importance

How much each factor contributes to the prediction model