As Large Language Models (LLMs) become increasingly integrated into various aspects of work and education, a phenomenon of 'secret use' has emerged where individuals utilize these tools without disclosing their assistance. This paper investigates the …
Early prediction of sepsis is crucial for improving patient outcomes in clinical settings. This paper introduces SepsisCalc, a novel approach that integrates clinical calculators into sepsis prediction through dynamic temporal graph connections. By …
Early prediction of sepsis is critical for improving patient outcomes, but remains challenging due to the complex and heterogeneous nature of the condition. This paper introduces Sepsislab, a novel approach for early sepsis prediction that …
Feature engineering is a critical yet challenging process in machine learning workflows, requiring both domain expertise and technical skills. As AI systems increasingly assist in this process, understanding how data workers perceive and interact …
Question answering (QA) is a fundamental means to facilitate assessment and training of narrative comprehension skills for both machines and young children, yet there is scarcity of high-quality QA datasets carefully designed to serve this purpose. …
Despite its benefits for children's skill development and parent-child bonding, many parents do not often engage in interactive storytelling by having story-related dialogues with their child due to limited availability or challenges in coming up …