Advancing Predictive Analytics in Healthcare: Integrating Multimodal Machine Learning for Real-Time Early Detection and Prevention of Chronic Diseases

Sunil Kumar, Kishori Lal Bansal, J. Veni, K. Akila, V. Kavin, Syed Zahidur Rashid

2025

Abstract

With increasing prevalence rates of chronic diseases, primary prevention and early detection becomes a public health priority. This work introduces a novel predictive analytics framework using multimodal machine learning to detect and proactively manage chronic diseases in real time. In contrast to earlier attempts which rely on single datasets and single disease models, our method utilizes behaviour, physiology, and clinical data to achieve better diagnostic accuracy in varied populations. Explainable AI approaches are integrated to provide transparency and trust to the predictions, and federated learning and privacy-preserving protocols for patient data are enabled. The system is tested real-time in prospective datasets collected at different healthcare institutions, showing high accuracy, sensitivity and generalisability. The integration of comorbidity-aware modelling, subgroup fairness analysis and deployment on lightweight edge systems in this work drives towards scalable and fair healthcare interventions.

Paper Citation

in Harvard Style

Kumar S., Bansal K., Veni J., Akila K., Kavin V. and Rashid S. (2025). Advancing Predictive Analytics in Healthcare: Integrating Multimodal Machine Learning for Real-Time Early Detection and Prevention of 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 330-335. DOI: 10.5220/0013863500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Sunil Kumar and Kishori Bansal and J. Veni and K. Akila and V. Kavin and Syed Rashid},
title={Advancing Predictive Analytics in Healthcare: Integrating Multimodal Machine Learning for Real-Time Early Detection and Prevention of 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={330-335},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013863500004919},
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 - Advancing Predictive Analytics in Healthcare: Integrating Multimodal Machine Learning for Real-Time Early Detection and Prevention of Chronic Diseases
SN - 978-989-758-777-1
AU - Kumar S.
AU - Bansal K.
AU - Veni J.
AU - Akila K.
AU - Kavin V.
AU - Rashid S.
PY - 2025
SP - 330
EP - 335
DO - 10.5220/0013863500004919
PB - SciTePress