Background The impact of COVID-19 in hypertrophic cardiomyopathy (HCM), particularly in the post-vaccine era, remains incompletely understood. We evaluated whether pre-existing cardiovascular magnetic ...

Sarcopenia has a high incidence among patients undergoing maintenance hemodialysis (MHD), significantly increasing the risk of falls, fractures, and mortality. Traditional diagnostic methods, however, ...

Abstract: Higher education decision-making is greatly improved by machine learning (ML), especially when it comes to forecasting student placements that affect career prospects or an institution's ...

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...

Ischemic Stroke (IS) stands as a leading cause of mortality and disability globally, with an anticipated increase in IS-related fatalities by 2030. Despite therapeutic advancements, many patients ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

Logistic regression, also known as a logit model, is a statistical analysis method to predict a binary outcome, such as yes or no, based on prior observations of a data set. A logistic regression ...