Objectives To determine the prevalence of cerebral atrophy in a multi-ethnic systemic lupus erythematosus (SLE) cohort and to ...

This short course focuses on understanding the principles of logistic regression using the notions of odds, odds ratios and transformations. It includes discussion of how good the given model is, and ...

For countries with large internal migrant populations, reducing the opt-out rate from basic medical insurance among this group remains a major obstacle to achieving universal health coverage (UHC).

We aimed to investigate the effects of evolocumab, a proprotein convertase subtilisin/kexin type‐9 inhibitor for intensive lipid‐lowering, on intracranial atherosclerotic stenosis. Among 179 ...

This online course gives participants an overview of commonly used regression methods to examine the relationship between an outcome of interest and an explanatory variable. Participants will be ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...