Introduction The impact of stunting, thinness and obesity on depression and anxiety during challenging times, such as ...

I commend Florian A Wenzl and colleagues for extending the use of the Global Registry of Acute Coronary Events (GRACE) 3.0 ...

Objectives This study aims to estimate the prevalence of long-lasting severe fatigue and identify possible risk factors in a 2-year follow-up of patients with predominantly mild-to-moderate SARS-CoV-2 ...

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

Using machine learning regression models, we predict porosity (measure of potential storage volume) and permeability (measure ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Introduction Osteoporosis and fragility fracture are more frequently found in systemic lupus erythematosus (SLE) patients ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

Physical activity programmes such as the NSC can help mitigate rising obesity and T2DM prevalence when implemented at the population level, as seen in Singapore. However, their success depends on ...

Extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent ...

It's said that statistics don't lie, but they often don't tell the whole truth, either.A Cornell statistics expert has come ...