Objective This study aimed to determine the prevalence and contributing factors of complete measles vaccination with key attention to maternal health-seeking behaviour. Design The study used secondary ...

Objectives Fatigue is one of the most common and debilitating symptoms experienced by patients with systemic lupus erythematosus (SLE). Previous studies revealed the association of fatigue with ...

Background and aims Over the past decades, high-volume lead extraction centres gained broad experience in advanced ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Linear regression analyzes the relationship between two variables. Multiple regression examines several variables' effects on a single outcome. Both techniques predict an outcome based on historical ...

From cancer-fighting Taxol to fragrant rose oils, plant terpenoids shape our world in surprising ways. Scientists are now ...

These findings reveal distinct age- and sex-specific patterns in the burden of modifiable risk factors in contemporary Koreans. Tailored prevention strategies that reflect national epidemiological ...

Interactions between genetic loci might reduce the power to detect genetic effects in genetic association studies, if these interactions are not allowed for. Statistical interaction corresponds to a ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Introduction Poor adherence to risk factor control and life-saving medications is a key factor affecting long-term patient ...

Objective SLE is a systemic autoimmune disease in which the complement system plays a key pathogenic role, yet the ...

Let's be honest, we're all drama queens sometimes. Whether you're texting your bestie you're “literally dying” over the latest celebrity gossip or declaring on social media that Monday mornings are ...