book · Zenodo (CERN European Organization for Nuclear Research)
This repository contains the complete computational pipeline and Python source code for the decentralized and explainable forecasting of CIS to Multiple Sclerosis conversion using MICE imputation, local XGBoost training, and SHAP integrated with simulation of federated learning.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.5281/zenodo.20805167
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.