Title:
LEVERAGING CLOUD COMPUTING AND BIG DATA FOR ENHANCED HEALTHCARE DECISION-MAKING: INTEGRATING LSTM FOR PREDICTIVE MODELLING

Authors:
Archana Chaluvad and Karthick.M, USA

Abstract:
Cloud computing has grown up a lot, big data analytics; they are making an impact on the landscape changes and their management-they are obviously influencing the way vast complex datasets. The paper proposes a combined framework to generate synthetic healthcare data, and deliver these to cloud platforms for the application of advanced Machine Learning techniques, hence optimizing the decision making and treatment cost strategy for real-time importation and individualized presentation using Long Short-Term Memory (LSTM) networks. The imputation of mean and normalization, preprocessing of data contributes to improving the quality of data and consistency, while visualization serves decision support systems to provide operational insights. The predictive LSTM-based model yielded an accuracy level of 92.4% and a precision level of 90.1% predicting patient outcomes. Secure storage on cloud with scalable analytics platforms would take care of critical challenges like data privacy, interoperability, and infrastructure limitations which are significant towards transforming the landscape of healthcare delivery.