In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India Introduction: The increasing incidence and high mortality rate of necrotizing fasciitis (NF), a ...

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in big date-related applications for describing restricted observed interactions among large node sets. How to perform ...

Abstract: Federated learning (FL) faces significant challenges in scenarios with nonindependent and identically distributed (non-IID) data distributions across participating clients. Traditional ...