Objective This prospective longitudinal study of a general population sample investigates whether maternal experience of out-of-home care (OHC) constitutes an independent risk factor for the ...

Background Foodborne diseases are an important cause of global morbidity and mortality, particularly among children who often ...

Background Anxiety disorders are persistent, functionally impairing conditions with high societal burden. In contrast, ...

Background Is being famous a risk factor for premature death? Previous studies indicate that famous musicians have a higher ...

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 ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

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 ...

ABSTRACT: Benzimidazolyl-Chalcones (BZCs) possess nitrogen heteroatoms making them very active molecules when protonated. In this work we will focus on a series of fourteen (14) substituted BZC ...

Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...

The purpose of the plot_distribution_linear_regression.html example is to present the distribution of the estimators in linear regression. The first part presents the distribution of the sample ...