News

The Zuckerberg College of Health Sciences, Department of Public Health, invites you to attend a doctoral dissertation defense by Kaylea Flangan, MPH, RD on “Ultra-Processed Food Consumption, Cognitive ...
BACKGROUND: Vascular aging is an important phenotype characterized by structural and geometric remodeling. Some individuals exhibit supernormal vascular aging, associated with improved cardiovascular ...
Cognitive impairment is increasing globally. All stages of dementia are marked by declines in memory and executive function.
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
Objectives Cardiopulmonary involvement (CPI) is a major cause of morbidity and mortality in systemic sclerosis (SSc). The 6 min walk test (6MWT) is widely used to assess functional capacity, but its ...
Male patients with hidradenitis suppurativa perceived better physician communication with regard to demonstrating respect, listening, and explanations.
Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...
Deep Learning with Yacine on MSN1mon
How to Code a Substitution Cipher in C
Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!
Deep Learning with Yacine on MSN1mon
Linear Regression from Scratch in C++
Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!
Using multivariable linear regression models, they analyzed associations between the measurements of various retinal sublayers and four dietary assessments: the Alternate Mediterranean Diet, the ...
To achieve this goal, we develop a multivariate regression model of climate change, in which the change in a climate variable is represented by a linear combination of its sensitivity to CO2 forcing, ...
Multivariable linear regression showed that large hospital bed size, Native American race, Medicaid insurance, Black race, and Asian race were associated with longer hospital stays.