Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)

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Chronic Disease Management through Predictive Healthcare based on Multi-Agent System

Authors
Puspita Dash1, *, G. Bhuvaneswari1, V. Harshini1, M. G. Anubhambika1
1Department of Information Technology, Sri Manakula Vinayagar Engineering College, Puducherry, India
*Corresponding author. Email: puspitadashit@smvec.ac.in
Corresponding Author
Puspita Dash
Available Online 31 March 2026.
DOI
10.2991/978-94-6239-616-6_6How to use a DOI?
Keywords
Multi-Agent System (MAS); Chronic Disease Management; Predictive Analytics; Clinical Decision Support; AI Agents; Risk Scoring
Abstract

Chronic disease management requires intelligent, flexible, and proactive clinical tools. This study proposes a physician-focused multi-agent system (MAS) that leverages modular AI-powered agents to streamline patient data extraction, analysis, and decision-making. The system integrates real-time monitoring, predictive analytics, natural language processing, and machine learning to generate actionable insights. Autonomous agents manage report intake, structured data extraction, risk assessment, guideline adherence, and interactive dashboards, while adaptive learning incorporates clinician feedback. Privacy and security are maintained through GDPR (General Data Protection Regulation) and HIPAA (Health Insurance Portability and Accountability Act) compliance. Built with tools like scikit-learn, spaCy, BERT, and XGBoost, this MAS is extensible and modular, enhancing diagnostic accuracy, reducing administrative burden, and supporting personalized, proactive patient care.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 March 2026
ISBN
978-94-6239-616-6
ISSN
1951-6851
DOI
10.2991/978-94-6239-616-6_6How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Puspita Dash
AU  - G. Bhuvaneswari
AU  - V. Harshini
AU  - M. G. Anubhambika
PY  - 2026
DA  - 2026/03/31
TI  - Chronic Disease Management through Predictive Healthcare based on Multi-Agent System
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 66
EP  - 80
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_6
DO  - 10.2991/978-94-6239-616-6_6
ID  - Dash2026
ER  -