Heart Disease Prediction
Federated model for binary risk classification prediction of heart disease.
Binary Classification
Health
4 participating
Heart Disease Prediction
by @kernio
NHS Electronic Health Record
Federated model for binary risk classification prediction of heart disease.
Next round in: -701 days
Outcome
The model predicts the probability of a patient having heart disease. Each experiment participant will receive a prediction for each patient in their dataset. The prediction is a probability between 0 and 1, where 0 means the patient does not have heart disease and 1 means the patient has heart disease.
To get started, the following data is required to participate in this experiment. The data is provided by the data owner and is not shared with any other particpants.
Age
Sex
Chest Pain Type
Resting Blood Pressure
Serum Cholestoral
Fasting Blood Sugar
Resting ECG
Max Heart Rate
Exercise Induced Angina
Oldpeak
Slope
Major Vessels
Thal
Heart Disease
Drop files here to save to your worker
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You will need to set up your private federated learning node to join, read more at Guides » Quickstart.