BACKGROUND: Identifying and addressing barriers to antihypertensive medication adherence is critical for hypertension control ...

This study investigated heterogeneous subtypes of non-suicidal self-injury (NSSI) among college students and examined the psychosocial predictors of high-risk profiles to guide precision interventions ...

Background The optimal surgical strategy for mitral valve (MV) infective endocarditis (IE) remains uncertain. Although valve ...

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

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 ...

Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...

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 ...

Objective Women of reproductive age (WRA) in low-income and middle-income countries (LMICs) bear a disproportionate burden of ...

Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...

A new study develops and validates a nomogram to predict the need for continuous renal replacement therapy (CRRT) in patients ...

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 ...