The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making

Abstract

Big Data Analytics has emerged as a transformative technology in modern healthcare, enabling efficient processing of large and complex medical datasets.This paper explores the role of Big Data Analytics in improving diabetes management and healthcare decision-making. By integrating technologies such as Hadoop and Apache Spark with machine learning algorithms, healthcare systems can analyse patient data more effectively and predict diseases at an early stage. The study utilizes various models including Logistic Regression and Naïve Bayes to evaluate prediction accuracy. Results indicate that advanced analytics significantly enhance diagnostic performance and support real-time decision-making. The proposed system demonstrates improved efficiency, scalability, and accuracy in handling healthcare data. Overall, this approach contributes to better patient outcomes, cost reduction, and the development of intelligent healthcare systems.