A Benign Prostatic Hyperplasia(BPH) risk prediction system.
The data is private and from physical examination.
It conatins three part: train(machine learning method in ./utils; deep learning method in ./deeplearn ), server(web app, in ./server_flask_web), client(web app, in ./client_flask_web).
You have the flexibility to customize parameters and code within your own module, while this project serves as a reference example for any project that utilizes machine learning models in the backend and showcases the results through the frontend.
There is also a Vue version for client website. Feel free to contact me if interested.
For the html pages,
the client pag presents as a simple cacluator for patient(demo)
the Server pages are,
For the vue project,
here are the login page,
the welcome page,
the patient data page,
the model management page,
and the data file uploading page,
