WASHINGTON — Ensemble machine learning models may indicate second-line treatments for people whose depression does not benefit from antidepressant pharmacotherapy, according to a poster ...

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

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 ...

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...

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 ...

Machine learning algorithm can analyze a person’s speech patterns to help diagnose the possibility of depression. ... Such vocal tics may not immediately be picked up on by a human.

Machine learning identifies new brain network signature of major depression. ScienceDaily . Retrieved May 17, 2025 from www.sciencedaily.com / releases / 2020 / 12 / 201207142315.htm ...