A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Facial emotion representations expand from sensory cortex to prefrontal regions across development, suggesting that the prefrontal cortex matures with development to enable a full understanding of ...

Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...

Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...

This study investigated the dynamics of human cortical network activity with functional magnetic resonance imaging during movie watching and studied the modulation of these dynamics by subcortical ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its ...

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...