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

Introduction With the acceleration of the global ageing trend, sarcopenia has become a major public health problem. Probable sarcopenia, characterised primarily by decreased muscle strength, ...

Objective Type 2 diabetes mellitus (T2DM) and osteoarthritis (OA) are globally prevalent chronic diseases that affect millions of individuals in ageing populations. Hip and knee replacements are well ...

The term evidence-based medicine, coined by Dr. Guyatt in 1991 (1), describes the practice of medicine rooted in the best available scientific evidence (2). Since its inception, evidence-based ...

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...

Abstract: The generalized regression neural network (GRNN) combined with particle swarm optimization (PSO) model for multivariable prediction of the blast furnace (BF) is proposed in this article. The ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

The risk of ischemic stroke is highest during the first year following a new diagnosis of cancer, but no tools exist to identify patients at highest risk. Using linked clinical and administrative ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

Purpose To characterise the clinical and multimodal imaging features of large solitary peripheral retinal capillary haemangiomas (RCHs) and identify risk factors for distinct macular complications.

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...