Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A new study published in the journal of BMC Nephrology revealed that a U-shaped link between high stress hyperglycemia ratio ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...