Introduction Diabetes distress is a common health problem among people living with type 2 diabetes (T2D), making it difficult to manage the condition. Though it remains a problem, limited attention ...

Objectives This study aims to estimate the prevalence and associated factors of anxiety, depression and stress symptoms among doctors working in hospitals with COVID-19 treatment units in the ...

California’s plan to hit its richest residents with a one-off wealth tax is a long shot, and its design has problems. But a look at who picks up the tab when billionaires scrimp on taxes, and how ...

Abstract: Logistic regression is one of the frequently used models in pattern recognition, especially in binary classification tasks. We focus on a class of small-sample classification problems where ...

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...

On Tuesday afternoon, Bob Starkey was in the LSU women’s basketball team’s locker room when he decided to take out his phone and snap a photo he’d later post to Instagram. Starkey wanted people to see ...

One of the fun revelations of the season was Ji’Ayir Brown rising back into a starting spot for the San Francisco 49ers. However, the fun story is starting to sour at a bad time for the team and it is ...

Three Opinion writers break down the former vice president’s book of excuses. By Michelle Cottle Carlos Lozada and Lydia Polgreen Produced by Vishakha Darbha Three Opinion writers weigh in on Kamala ...

When Donald Trump stormed into the White House in 2016, horrified Americans debated, almost endlessly, whether the shocking result was an expression of widespread racism (backlash to a Black president ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...