Correlation doesn’t mean what most people think it means. What most people mean when they say correlation is closer to machine learning than it is to the technical definition of correlation. If you ...

Objective: This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

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 ...

Objective Fractional flow (FF) reserve has been developed as a gold standard for coronary intervention. Intracranial FF is also a valuable hemodynamic index to assess the severity of narrowing in ...

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method ...

ABSTRACT: This study aims to examine the impact of regulation efficiency indicators on FDI considering the moderating effect of institutional quality in 15 countries from MENA Region from 2000 to 2020 ...

Objective: To investigate the factors influencing accelerated aging in patients with type 2 diabetes mellitus (T2DM) and coronary heart disease (CHD). Methods: A total of 216 patients diagnosed with ...