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Varicose veins prediction

Click on this world map at your location. Then, fill in the fields with your age, gender, and body mass index, and press the "Predict" button. The chance of getting varicose veins will be displayed as a percentage (%).

All calculations will be performed on the user's side in the browser, ensuring privacy with no data transfer to third-party servers.
Color Values Grace
Author: Yury Rusinovich
Email: yury.rusinovich@gmail.com
Deployment Date: 2024-06-28
References:
Research paper

Source of the map

Performance and Training Settings:

Training Loss: 0.8933553695678711

Validation Loss: 0.6853840351104736

Training MAE: 0.647826075553894

Validation MAE: 0.6809635162353516

Data Counts (n): 81

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 Legularization: 0.01

Number of Epochs: 389

Initial Learning Rate: 0.001

Batch Size: 32



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Comments:

2024-10-08 16:30:00: (admin:)

If you have any questions or suggestions about the model, feel free to leave a comment here.

2024-10-09 19:55:03: ✍️

This app has been used 0 times for predictions.

This machine learning model could be downloaded and retrained by adding new data here