Predict the probability of getting varicose veins on your legs based on your biometric data and the geographic region where you live. Find the gravity field of your region on this world map using the scale below the map. Then, fill in the fields with gravity (mGal), your age, gender, and body mass index, and press the "Predict" button. The chance of getting varicose veins will be displayed as a percentage (%). Change the parameters to see whether age or body dimensions influence the probability of getting varicose veins. This predictive model is built on the research paper listed in the references.
Outcome: Varicose % (Outcome): Mean = 23.455, SD = 11.972
Predictors (n): Gravity of the region (mGal): Mean = 15.481, SD = 14.356, p-Value = 0.001; Age in years: Mean = 41.228, SD = 10.859, p-Value = 0; Gender (0=male, 100=female): Mean = 60.06, SD = 27.934, p-Value = 0.657; Body mass index ( kg/m²): Mean = 26.058, SD = 1.491, p-Value = 0.203
L2 Regularization: 0.01
Number of Epochs: 389
Initial Learning Rate: 0.001
Batch Size: 32
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This Machine Learning model could be downloaded and retrained by adding new data on the ML in Health Science Platform in the Sustainable Data Classifier
