Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Machine learning models help clinicians identify people who need advanced depression care. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 08 / 190820131005.htm ...

SimSensei, the machine the scientists are developing, uses an algorithm to find vowel sounds associated with depression. It is designed to work alongside doctors as they assess patients, not ...

These were compared to results from the Patient Health Questionnaire-9 (PHQ-9), a standard depression screening tool. A PHQ-9 score of 10 or higher indicated moderate to severe depression.

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

Anxiety and depression are inherently tricky conditions to diagnose, with clinicians turning to exams and questionnaires to make their assessments. For this reason, the search is on for clearer ...

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 ...

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes. That’s where ...