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 ...

Objectives Rock climbing’s growing popularity has been accompanied by increasing reports of hand, finger and wrist injuries ...

For countries with large internal migrant populations, reducing the opt-out rate from basic medical insurance among this group remains a major obstacle to achieving universal health coverage (UHC).

Abstract: The detection of various reactions using computer vision, machine learning, and artificial intelligence is a rapidly growing field of research. In this paper, we present a sentiment analysis ...