Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

transport logistic Southeast Asia and air cargo Southeast Asia (tlacSEA) will return to the Sands Expo & Convention Centre in Singapore from 29–31 October 2025, offering a key meeting point for ...

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, ...

Linear to Logistic regression Introduction In this lesson, you'll be introduced to the logistic regression model. You'll start with an introductory example using linear regression, which you've seen ...

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

1 Department of Mathematics and Statistics, University of Saskatchewan, Saskatoon, SK, Canada 2 Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada The traditional ...