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 ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

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 ...

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 ...

(iStock) The human body constantly generates a ... cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes ...