Background There is a growing enthusiasm for machine learning (ML) among academics
and health care practitioners. Despite the transformative potential of ML-based applications …

The incorporation of Machine and Deep Learning in Smart Healthcare technologies has
revolutionized healthcare delivery from diagnostics to treatment planning. The vast amounts …

More than 800 million people worldwide suffer from chronic kidney disease (CKD). It stands
as one of the primary causes of global mortality, uniquely noted for an increase in death …

In hospital settings, effective risk management is critical to ensuring patient safety, regulatory
compliance, and operational effectiveness. Conventional approaches to risk assessment …

The amalgamation of artificial intelligence (AI) and machine learning (ML) in healthcare
offers a revolutionary prospect to improve patient outcomes, optimize workflow, and curtail …

Breast cancer remains a significant global health concern, necessitating effective early
detection and treatment strategies. In this paper, we conduct a detailed analysis of the …

Econometrics has traditionally focused on statistical regression-type methods for analysing
economic data, but is increasingly integrating techniques from data science, using …

The primary aim of this study was to develop a new Finnish health technology assessment
(HTA) model for a wide range of digital health technologies (DHTs). The model was named …

The study highlights the increasing occurrence of catastrophic events stemming from rapid
population growth, urbanization, and global climate change. It emphasizes the need for …

Abstract The extension of Big Data analytics to healthcare has radically altered how
healthcare-related data is managed and used, presenting unequalled chances of …