Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Airway-occluding mucus plugs (MPs)—as identified on CT scans—are frequent in patients with chronic obstructive pulmonary ...

Mathematics In AI: Mathematical concepts such as statistics and probability form the foundation of Artificial Intelligence (AI) and its branches like Machine Learning and Deep Learning. Machine ...

Background Understanding the ‘real-world’ challenges of delivery of pre-exposure prophylaxis (PrEP) among men who have sex ...

Background Acute kidney injury requiring dialysis (AKI-D) is a major contributor to morbidity and mortality worldwide, with ...

Background Psoriatic arthritis (PsA) is a chronic inflammatory systemic disease that is associated with cardiovascular ...

Furthermore, IC trajectories over time were analysed using group-based trajectory modelling. The associations of the trajectory memberships with CVD risk were analysed using logistic regression models ...

1 Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA 2 Division of Pulmonary, Allergy and Critical Care Medicine, University of ...

Objectives Neck circumference has emerged as a predictor of obesity and metabolic syndrome, but its clinical usefulness for different groups of population is not clearly defined. The aim is to ...

Prediction market volume has grown exponentially but several markets never make it over $10,000.

Prediction markets now move $24 billion a month — more than legal sportsbooks. Here's how they avoid sports betting taxes, and how and why states are fighting back.