The use of healthcare data analytics is anticipated to play a significant role in future public
health policy formulation. Therefore, this study examines how big data analytics (BDA) may …

Artificial intelligence (AI) is becoming increasingly important, especially in the medical field.
While AI has been used in medicine for some time, its growth in the last decade is …

Abstract Language is the medium for many political activities, from campaigns to news
reports. Natural language processing (NLP) uses computational tools to parse text into key …

Imbalanced data classification is an important problem in the field of computer science.
Traditional classification algorithms often experience a decrease in accuracy when the data …

To date, there are conflicting opinions about the effectiveness of the introduction of artificial
intelligence technologies in sports. In this regard, the purpose of the study was to develop …

Concerns related to the environmental harm caused by the production, use, and testing of
hardware as well as software, are widespread throughout the world. Additionally, there is a …

This paper aims to accurately assess and effectively manage various security risks in the
community and overcome the challenges faced by traditional models in handling large …

A functional and reliable Health Information System (HIS) is vital for data-based decision-
making in public health. Here we describe the assessment of data processes and general …