Machine learning model distinguishes levels of psychological resilience in health care workers with 75% accuracy

A study published in Discover Artificial Intelligence used logistic regression, random forest and support vector machine (SVM ...
BIOENGINEER

Simple Machine Learning Beats Deep Learning in Real Rural Energy Communities

In a small valley in Asturias, northern Spain, a cluster of rural houses and a technology center have become the testing ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression (SVR) predicts a single numeric value using a kernel function, usually RBF, that computes similarity between two data items. SVR makes predictions using support vectors, ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Mirage News

AI Model Identifies Resilience Levels in Health Workers

Unlike most studies on healthcare workers' mental health, which focus on burnout and other negative outcomes, this research sought to predict a person's ability to actively cope with stress.
Nature

A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder

Major depressive disorder (MDD) is a critical cause of morbidity and disability with an economic cost of hundreds of billions of dollars each year, necessitating more effective treatment strategies ...