With the increase in the number of Internet of Things (IoT) applications, the reliance on
robust networking, reliable communications, and efficient and secure data storage is …

Feature selection plays a crucial role in data analysis, pattern recognition, and machine
learning by reducing feature dimensions, improving execution time, and enhancing model …

Leveraging data analytics for product decision-making is transforming the way businesses
approach innovation and market competitiveness. This paper explores the critical role of …

There is a significant public health concern regarding medical diagnosis errors, which are a
major cause of mortality. Identifying the root cause of these errors is challenging, and even if …

The evolving healthcare domain necessitates an upgrade through digitization, integrating
patient data, and advanced medical results. In the last couple of decades, advances in …

Big data integration is becoming increasingly important in the changing healthcare
landscape for informed clinical decision making. This in-depth review explores the …

This study examines the profound influence of Big Data (BD) on healthcare and
bioinformatics, elucidating the synergistic relationship between data science and these …

Now a days, Heart Disease (HD) has become a significant worldwide challenge, creating a
need for early detection and intervention. Machine learning (ML) techniques are used …