Background Socioeconomic deprivation has been associated with adverse outcomes after aortic surgery, although evidence ...

Background Acute kidney injury requiring dialysis (AKI-D) is a major contributor to morbidity and mortality worldwide, with ...

Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Abstract: Lung cancer is one of the most deadly and ubiquitous forms of cancer globally. Early detection can make a significant difference in survival rates, prognosis, etc. Background The present ...

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...

Decision Boundaries of Multinomial and One-vs-Rest Logistic Regression This example compares decision boundaries of multinomial and one-vs-rest logistic regression on a 2D dataset with three classes.

below what can be reached by an l2-penalized linear model or a non-linear multi-layer perceptron model on this dataset.

Ovarian cancer (OC) remains one of the leading causes of gynaecological cancer mortality worldwide, with approximately 313,000 new cases and 207,000 deaths reported annually 1. Despite advances in ...