Treffer: Recent Studies from Universidad Cesar Vallejo Add New Data to Anxiety Disorders (Systematic review of machine learning techniques to predict anxiety and stress in college students).

A recent study conducted by researchers at Universidad Cesar Vallejo in Lima, Peru, aimed to gain a deeper understanding of machine learning techniques used to predict anxiety and stress in college students. The study involved an exhaustive search of 29 articles from various databases and analyzed the methodologies, attributes, selection algorithms, techniques, tools, programming languages, and metrics used in these studies. The most commonly used methodology was a sequence of steps, with age and gender being the most important attributes. The most efficient techniques were Support Vector Machine (SVM) and Logistic regression (LR), and Python was the most commonly used programming language. The study concluded that machine learning techniques can help predict anxiety and stress, providing valuable scientific evidence for the medical field. [Extracted from the article]