Breast Tumor Classification Model

Insights foryour health

A predictive model that gives you confidence when you need it. Identify risks before they become emergencies.

About

The clarity of prediction,
Without guesswork.

01

Designed with you in mind

Our model was trained using 569 instances from the Diagnostic Wisconsin Breast Cancer Database to support prediction for other patients.

02

Trained using SVMs

Support vector machines provide powerful class separation between benign and malignant tumors to give you leading prediction power.

03

Predictions personalized to you

Predictions are personalized based on your specific health markers and scan results in order to apply our findings to your future.

AB
04

Results for what's next

Our medical suggestions help you plan for what's next and understand your situation as clearly as possible.

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Model

Performance you
can measure.

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Size of training data
0.8%
ROC-AUC score
0ms
Prediction time
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F-1 Score