Why it matters: The study findings suggest that machine learning technology could serve as a complementary decision-support tool for assessing depression.

The poster was awarded best poster from an early career professional by the Anxiety & Depression Association of America. An ensemble machine learning algorithm may help identify possible ...

Machine learning models help clinicians identify people who need advanced depression care. ScienceDaily . Retrieved May 10, 2025 from www.sciencedaily.com / releases / 2019 / 08 / 190820131005.htm ...

Game-playing machine learning is strongly successful for checkers, chess, shogi, and Go, having beaten human world ... the most common algorithms are Naive Bayes, Decision Tree, Logistic ...

The new research also makes use of a machine learning algorithm, but this time tuned to detect markers of depression and anxiety through the speech of young children, conditions known together as ...

courtesy of a machine learning algorithm designed to analyze a person’s speech patterns and help diagnose the possibility of depression in the process. The tool is part of an ongoing research ...

Machine-learning algorithms can be applied to data on brain activity in people with depression in order to find such associations. However, most studies have focused only on specific subtypes of ...

But many companies are finding themselves incapable of ... the case with methods relying on neural networks. Decision-tree-based machine-learning methods allow, in theory, for determining the ...