Background To investigate prevalence and risk factors of epiretinal membrane (ERM), particularly those associated with ERM ...
Objective To investigate the relationship between adverse childhood experiences (ACEs) and health outcomes in childhood-onset ...
The sound is sharp, spare and strange, a burst of clicks cutting through seawater. For years, researchers treated those sperm ...
Background The optimal surgical strategy for mitral valve (MV) infective endocarditis (IE) remains uncertain. Although valve ...
Based on this, this study retrospectively analyzes the clinical testing data of patients with diabetic nephropathy and those with simple diabetes mellitus to investigate the predictive value of ...
BACKGROUND: The aim of the DESAC study (Devenir des Survivants d’Arrets Cardiaques) was to describe the survival rate and ...
Earnings Watch: Lululemon, Macy's and other retailers also report, as conflict with Iran threatens to drive prices higher FedEx reports quarterly results on Tuesday. Americans were feeling a bit ...
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 ...
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results