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

PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2702 - e2702

Published: Feb. 28, 2025

In the modern era of digitalization, integration with blockchain and machine learning (ML) technologies is most important for improving applications in healthcare management secure prediction analysis health data. This research aims to develop a novel methodology securely storing patient medical data analyzing it PCOS prediction. The main goals are leverage Hyperledger Fabric immutable, private integrate Explainable Artificial Intelligence (XAI) techniques enhance transparency decision-making. innovation this study unique technology ML XAI, solving critical issues security model interpretability healthcare. With Caliper tool, blockchain’s performance evaluated enhanced. suggested AI-based system Polycystic Ovary Syndrome detection (EAIBS-PCOS) demonstrates outstanding records 98% accuracy, 100% precision, 98.04% recall, resultant F1-score 99.01%. Such quantitative measures ensure success proposed delivering dependable intelligible predictions diagnosis, therefore making great addition literature while serving as solid solution near future.

Language: Английский

Hybrid Machine Learning for Personalized Ayurvedic Drug Recommendation via Prakriti Assessment

Published: Nov. 14, 2024

Language: Английский