This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

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

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

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed using repeated 24 hour dietary records and evaluated t ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

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

Routine reactor emissions pose no meaningful health risk to the US workers and population, a health physicist and a nuclear ...

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

This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...