This systematic review focuses on digital transformation in vascular healthcare to identify
key focus areas for innovation, benefits, challenges, best practices, sustainable approaches …

The healthcare systems worldwide are moving towards the concept of predictive analytics,
using data on patients for better and effective treatment and to organize usage of resources …

The objective of the research is analyzed and help provide a prediction model for similar
diseases by using MERS and SARS data. There are examples of companies like BlueDot …

The recent COVID-19 pandemic has highlighted the importance of responding quickly and
efficiently in the healthcare industry, especially when dealing with rapidly spreading …

Efficient healthcare systems must provide quality care, ensuring equitable access and
sustaining financial viability. This study employs Data Envelopment Analysis (DEA) to …

This study investigates the intention of Saudi Arabian users to adopt mobile health (m-
health) applications through the lens of the United Theory of Acceptance and Use of …

Every day, health centers receive a significant number of patients seeking care and
hospitalization, leading to long waiting times. Simulation modeling techniques are …

In the rapidly evolving landscape of data-intensive applications, the precision and clarity of
software requirements play a pivotal role in these applications' development process. This …

As a new scientific discipline, Data Science need a re-examination and re-design of both
established pedagogical practices and current curriculum in order to meet its unique …

The healthcare industry has evolved to be one of the largest industries in almost every
country due to a popular trigger of Covid-19 mechanism. COVID-19 health services and …