Background The promise of digital health is principally dependent on the ability to
electronically capture data that can be analyzed to improve decision-making. However, the …

Abstract Background: Electronic health records (EHRs) are generated at an ever-increasing
rate. EHR trajectories, the temporal aspect of health records, facilitate predicting patients' …

Sentiment Analysis (SA) is a technique to study people's attitudes related to textual data
generated from sources like Twitter. This study suggested a powerful and effective technique …

Recent advancements in computing have led to the development of artificial intelligence (AI)
enabled healthcare technologies. AI-assisted clinical decision support (CDS) integrated into …

This paper discusses the challenges associated with a class imbalance in medical data and
the limitations of current approaches, such as machine multi-task learning (MMTL), in …

In this study, an innovative automated navigation system for delivery vehicles was
developed, leveraging real-time object detection technology. This system utilizes a bird's …

Purpose: Accurately estimating inpatient billing costs during admission is important for
financial planning in healthcare. Traditional methods have limitations in capturing true cost; …