Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning ... using ...

Introduction to an EEG time-series machine learning project using Python, from setting up the environment to the first steps.

While both models showed remarkable prediction accuracy, decision trees offered an added advantage: interpretability.

A combination of unsupervised and supervised machine learning algorithms may be able to assist clinicians in identifying ...

In a pioneering study from the Expertise Center for Movement Disorders in Groningen, machine learning, a core area of ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...