Machine Learning Powered

Assess Your Diabetes Risk in Minutes

Enter your clinical health indicators below to receive an instant, data-driven risk assessment powered by a trained logistic regression model.

Health Assessment Form

All fields are required. Enter values from your latest health report.

Glucose Level

mg/dL

Plasma glucose concentration (2-hour oral glucose tolerance test)

Blood Pressure

mm Hg

Diastolic blood pressure reading

Skin Thickness

Triceps skin fold thickness

Insulin Level

mu U/mL

2-hour serum insulin level

Body Mass Index (BMI)

kg/m²

Weight in kg divided by height in m squared

Diabetes Pedigree Function

Function representing diabetes history in relatives

Age

years

Patient age in years

Our assessment pipeline follows clinical data standards and machine learning best practices.

Provide seven clinical indicators from your health report or recent checkup.

Your data is normalized and analyzed by a logistic regression model trained on clinical datasets.

Receive a risk classification with confidence score and personalized recommendations.

768 Training Samples

7 Clinical Features

80.5% Model Accuracy

<1s Response Time