Blockchain and explainable-AI integrated system for Polycystic Ovary Syndrome (PCOS) detection.

ABSTRACT: In the modern era of digitalization, integration with blockchain and machine learning (ML) technologies is most important for improving applications in healthcare management and secure prediction analysis of health data. This research aims to develop a novel methodology for securely storing patient medical data and analyzing it for PCOS prediction. The main goals are to leverage Hyperledger Fabric for immutable, private data and to integrate Explainable Artificial Intelligence (XAI) techniques to enhance transparency in decision-making. The innovation of this study is the unique integration of blockchain technology with ML and XAI, solving critical issues of data security and model interpretability in healthcare. With the Caliper tool, the Hyperledger Fabric blockchain's performance is eva

SUBMITTER: Jaganathan G 

PROVIDER: S-EPMC11888934 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature