The Office for National Statistics calculates CPI, RPI and CPIH each month. What are they and what do they reveal about UK ...

Background Restarting direct oral anticoagulants (DOACs) after a serious bleeding event in patients with atrial fibrillation ...

Objectives The association between smoking and patients with schizophrenia has been established through epidemiological ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

Cardiovascular disease (CVD) is the leading cause of death worldwide. According to the Global Burden of Disease study, which compiles and analyzes population health data from 204 countries, the number ...

Brownlee, J. (2017) Difference between Classification and Regression in Machine Learning. Machine Learning Mastery, 25, 981-985.

Discover the essential differences between linear and logistic regression in data science and learn when to use each model for optimal results.

One of the primary hurdles is the misalignment of the regularization paths, which quantifies the feature selection principle between regression and classification tasks, leading to biased feature ...

Discover how linear and logistic regression differ in data science applications, including when and how to use each model for accurate predictions.