Privacy-Preserving Predictive Analytics in Healthcare Using Federated Learning and Deep Learning Models

Patlori, Sricharan (2024) Privacy-Preserving Predictive Analytics in Healthcare Using Federated Learning and Deep Learning Models. Masters thesis, Dublin, National College of Ireland.

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Abstract

Federated Learning (FL) is one of the most used strategies to solve the issue of preserving privacy in deep learning applications in healthcare. Centralized models of machine learning are a challenge for data sharing because of the patient privacy and data protection laws which do not allow data sharing between institutions. FL offers a distributed learning solution in which the data is stored in different institutions while sharing the update of the model to ensure that privacy is not infringed while at the same time learning. In this study, a decentralized FL model performed slightly better than standard benchmark models in predicting patient length of stay. Even though centralized models exhibited similar performance like de-centralised deep learning model, the objective of this research was not to achieve the highest accuracy possible but to prove that competitive performance can be achieved at the same time as privacy preservation. In the context of healthcare applications, Federated Learning’s capability to train models without exchanging the data and yet obtain high accuracy. The motivation for this research is to establish an approach for achieving high accuracy in decentralized systems that also respects privacy and security. The results stress that Federated Learning could be an effective solution that provides both high predictive accuracy and solid protection of privacy-sensitive health data.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Basilio, Jorge UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science K Law > KDK Republic of Ireland > Data Protection R Medicine > Healthcare Industry Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	04 Sep 2025 08:55
Last Modified:	04 Sep 2025 08:55
URI:	https://norma.ncirl.ie/id/eprint/8769

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