Sepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist
with the early recognition of sepsis may improve outcomes, but relatively few studies have …

The use of sophisticated algorithms has radically altered cloud computing predictive auto-
scaling and upkeep approaches. Recurrent Neural Networks (RNNs), the Prophet Algorithm …

Objectives This study describes the development and deployment of a machine learning
(ML) model called Vent. io to predict mechanical ventilation (MV). Materials and Methods We …

Abstract Background and Objective Real-time data (RTD) are data that are delivered
immediately after creation. The key feature of RTD is low delivery latency. Information …

Modern e-government systems are moving towards becoming inclusive. Especially with
systems concerning social services, considering Persons with Disabilities (PWDs) is …

This article examines the integration of artificial intelligence (AI) in healthcare, highlighting
both the opportunities and challenges it presents. AI offers significant advancements in …

Globally, there has been an increase in the use of Artificial intelligence (AI) technologies in
healthcare settings for a range of tasks requiring pattern recognition, reasoning or learning …