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book · Zenodo (CERN European Organization for Nuclear Research)

Manual Federated Simulation for Multiple Sclerosis Integrating XGBoost Algorithm with SHAP Explanation

Abstract

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 manual Simulation for federated learning.

Research topics

  • Multiple Sclerosis Research Studies
  • Computational Physics and Python Applications
  • demographic modeling and climate adaptation

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.5281/zenodo.20805330

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