Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
Abstract: The article introduces ordinal logistic regression as an alternative method for modelling the relationship between predictor variables and job satisfaction. It emphasizes the importance of ...
Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Objectives Although menstrual cups have a long history and numerous benefits, many women of reproductive age remain unaware. This study assessed the knowledge, attitude and use regarding menstrual ...
If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
This project aims to predict house prices using the Ames Housing dataset. The goal is to preprocess the data, train a stacking model with multiple base models, and ...
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