International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 4 (July-August 2025) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

An AI-driven Multimodal Approach for Prediction and Progression Monitoring in Multiple Sclerosis

Author(s) Mr. Kamallesh Kumar R K, Mr. Dhivvya Bhalan Duraivelan Jeyabhalan, Ms. Dil Divya Prabhakar, Ms. Kalaivani Muniyan, Dr. Arun Prasad Arunachalam Sivagurulingam
Country India
Abstract Multiple Sclerosis (MS) is a complex immune-mediated neurologic condition with heterogeneous disease course and diagnostic challenge. In this paper, an AI-based multimodal model is introduced that integrates clinical, MRI, and ophthalmic imaging features for better early diagnosis and monitoring of disease progression, with special focus on EDSS (Expanded Disability Status Scale) score prediction. Several machine learning and deep learning models were evaluated, such as Logistic Regression, Random Forest, and XGBoost. Out of them, XGBoost achieved the highest accuracy (92.72%) and showed enhanced precision, recall, and F1-score for MS conversion prediction. While Logistic Regression performance was slightly worse, high cross-validation stability was shown by it. Feature importance analysis showed MRI-derived markers—more specifically periventricular and infratentorial lesions—and early clinical symptoms as key predictors. Additionally, SHAP-based explainable AI methods were employed in order to enhance the explainability of models and to make them more clinically confidence-generating. The paper establishes the effectiveness of the combination of structured clinical data and imaging biomarkers with state-of-the-art machine learning models to enable early, accurate, and personalized MS treatment.
Keywords Multiple Sclerosis, XGBoost, Multimodal Data Integration, Optical Coherence Tomography (OCT), Multimodal Data Integration.
Field Medical / Pharmacy
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-07-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.51708
Short DOI https://doi.org/g9t2dr

Share this