Objective To explore healthcare professionals’ experiences with medication errors (MEs) in terms of types and factors that contribute to them. Design A mixed-methods study was conducted to explore the ...

Statistical tools today range from easy-to-use dashboards to advanced coding platforms. Each option offers a different mix of speed, control, and depth for handling real-world data problems. Choosing ...

Texas law enforcement continues warning residents about a text scam falsely claiming to be from the DMV and demanding payment for traffic tickets. The DMV does not issue tickets or send text threats; ...

Abstract: Traditional manual methods can no longer meet the needs of analyzing the increasing number of literary works, and most existing sentiment analysis technologies are limited to simple ...

Pooled effect sizes (r) were calculated using random-effects meta-analysis with Hartung-Knapp-Sidik-Jonkman correction, and subgroup and meta-regression analyses were conducted to explore potential ...

Background: Depression affects more than 350 million people globally. Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting ...

Embodied learning has attracted considerable attention in recent years. However, there is no academic consensus on whether embodied learning effectively enhances students’ learning performance. The ...

Statistical learning (SL) is a fundamental cognitive ability enabling individuals to detect and exploit regularities in environmental input. It plays a crucial role in language acquisition, perceptual ...

Abstract: Emotion classification in social media texts has several challenges, such as the characteristics of social media texts that tend to use informal language, unbalanced data distribution, ...

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...