ASPG

Special Issue: Real-Time Data Analytics in Healthcare Using High Performance Computing (JISIoT)

Real-Time Data Analytics in Healthcare Using High Performance Computing

The health industry uses big data insights to optimize processes, reduce costs, and improve service quality. Big data stream technology has been gaining attention for its ability to support prediction and real-time decision-making. High-performance computing (HPC) is essential for addressing the growing analytical needs of big data in industries like economics and healthcare. Traditionally, large-scale computational modeling and simulation relied heavily on HPC, but the rapid growth of data has led to the need for new strategies. Implementing functional networks in healthcare and biotechnology is challenging due to the rapid development of healthcare data and challenges in managing high dimensions. Real-time analytics aims to analyze data as soon as it is received, enabling easy corporate decision-making and a new era of data and information processing. Technology has greatly aided the expansion of digital data, making communication easier and increasing the amount of data available digitally. Real-time analytics encompasses aspects like operational, machine learning, and business intelligence, and numerous solutions support such assessments in the competitive landscape.

Topics of interest for this special issue include but are not limited to:

Importance of big data analytics for healthcare using high performance computing
Real-time analytics using big data stream technology in personal healthcare
High-performance computing multilayered data processing with parallel techniques for large data
IoT implications in healthcare using machine learning methods in high-performance computing
Healthcare high-performance computing from the standpoint of automatic content extraction
Spark broadcasting and machine learning, a continuous healthcare monitoring system
Edge computing for intelligent healthcare apps and immediate monitoring
Using big data and cloud computing together to predict health conditions
IoT-based cloud system foundation big data analytics: intelligent medical monitoring systems
Technology for interactive big data analytics in healthcare with simulation performance
Implementing cloud computing to improve healthcare data stream processing