Robust Ensemble Learning Framework for Early and Explainable Detection of Infectious and Chronic Diseases

Sunil Kumar, P. Ragachandrika, P. Mageswari, K. Shanmugapriya, Arun Pandiyan P., G. Nagarjunarao

2025

Abstract

The early monitoring and detection and characterization of infectious and chronic diseases are important to the prognosis of the patients, and for the economy of the health care systems. In this paper, we suggest a robust ensemble learning mechanism which incorporates various sources of medical data, such as clinical records, images and real-time sensor readings, in order to boost diagnostic accuracy. The model utilizes optimized ensemble techniques like stacking, bagging, boosting and explainable AI components to provide transparency in results. The framework achieves high performance in various diseases by solving very imbalanced, high computational cost, and interpretability problem. Extensive validation is performed on multi-institutional datasets to verify its portability, real-time efficiency and generalizability and to make it available to clinical and remote healthcare implementation.

Paper Citation

in Harvard Style

Kumar S., Ragachandrika P., Mageswari P., Shanmugapriya K., P. A. and Nagarjunarao G. (2025). Robust Ensemble Learning Framework for Early and Explainable Detection of Infectious and Chronic Diseases. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 799-806. DOI: 10.5220/0013873200004919

in Bibtex Style

@conference{icrdicct`2525,
author={Sunil Kumar and P. Ragachandrika and P. Mageswari and K. Shanmugapriya and Arun P. and G. Nagarjunarao},
title={Robust Ensemble Learning Framework for Early and Explainable Detection of Infectious and Chronic Diseases},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={799-806},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013873200004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Robust Ensemble Learning Framework for Early and Explainable Detection of Infectious and Chronic Diseases
SN - 978-989-758-777-1
AU - Kumar S.
AU - Ragachandrika P.
AU - Mageswari P.
AU - Shanmugapriya K.
AU - P. A.
AU - Nagarjunarao G.
PY - 2025
SP - 799
EP - 806
DO - 10.5220/0013873200004919
PB - SciTePress