Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

New AI models are underperforming on SEO tasks. Discover why accuracy is down and how to adapt before these regressions ...

Anthropic runs 200-attempt attack campaigns. OpenAI reports single-attempt metrics. A 16-dimension comparison reveals what ...

That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes ...

In a new study published Oct. 6 in the arXiv preprint database, scientists wanted to test whether politeness or rudeness made a difference in how well an AI system performed. This research has not ...

Abstract: This paper presents a gender classification model based on face features using logistic regression and K-Nearest Neighbors (KNN) classifier. The dataset contained long hair, forehead breadth ...

Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...

Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy, ...