Dynamic Artificial Intelligence Frameworks for Personalized Healthcare Engagement Predictive Patient Care and Federated Learning Based Medical Data Privacy

DOI

10.2991/978-94-6463-718-2_104How to use a DOI?

Keywords

artificial intelligence; personalized healthcare; predictive patient care; federated learning; data privacy; model interpretability

Abstract

Machine learning has shown great promise in medicine to improve patient care, predictive modelling and data protection. However, the existing AI models face several challenges including data heterogeneity, model interpretability, healthcare disparities, and scalability concerns. We have suggested a contemporary AI delivery model for personalized healthcare engagement and also a predictive patient diagnosis that makes use of federated learning thus maintaining data privacy across hospitals. This framework solves the problem existed in traditional models on the aspects of model transparency, model scalability and model fairness. The integration of real-time data handling with privacy-preserving methods confirms compliance with regulatory norms while improving healthcare outcomes. Moreover, the framework can deal with imbalanced and incomplete datasets and can thus potentially help many different diseases in all settings. Hence, this study aims to develop more interpretable and intelligible AI tools for medical practitioners to enhance health decisions and provide better care for patients.

Copyright

© 2025 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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TY  - CONF
AU  - K. SandhyaRani Kundra
AU  - K. Jayakumar
AU  - K. Manikandan
AU  - V. Jagadish Kumar
AU  - O. Pandithurai
AU  - D. R. Anita Sofia Liz
PY  - 2025
DA  - 2025/05/23
TI  - Dynamic Artificial Intelligence Frameworks for Personalized Healthcare Engagement Predictive Patient Care and Federated Learning Based Medical Data Privacy
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1252
EP  - 1265
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_104
DO  - 10.2991/978-94-6463-718-2_104
ID  - Kundra2025
ER  -