Predicting individual cases of major adolescent psychiatric ...

Predicting individual cases of major adolescent psychiatric ... - Nature

Three-quarters of lifetime mental illness occurs by the age of 24, but relatively little is known about how to robustly identify youth at ...

Three-quarters of lifetime mental illness occurs by the age of 24, but relatively little is known about how to robustly identify youth at ...

Predicting individual cases of major adolescent psychiatric ...

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence. Nina de Lacy, Michael J. Ramshaw, Elizabeth McCauley ...

Prediction models for child and adolescent mental health

Of 52 new prediction models, six (12%) were for suicidal outcomes, 18 (35%) for future diagnosis, five (10%) for child maltreatment. Other outcomes included ...

Predicting individual cases of major adolescent psychiatric ... - OUCI

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence ... predictions of individual cases. We found that deep ...

Predicting adolescent psychopathology from early life factors

Our results suggest that inclusion of prenatal, family history, and sociodemographic factors in ML models can generate moderately accurate predictions of ...

Predicting adolescent psychopathology from early life factors: A ...

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence. Article. Full-text available. Oct 2023. Nina de Lacy ...

Predicting individual cases of major adolescent ... - Altmetric

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence. Published in. Translational Psychiatry, October 2023. DOI ...

Developing and validating a prediction model of adolescent major ...

The MDD risk prediction model discriminated between those adolescents who did and did not develop MDD in the development (C-statistic = .783, ...

Predictive factors for the development of depression in children and ...

Only 34% of adolescents with major depression were reported to receive disorder-specific ... In a research review on child and adolescent psychiatry, the ...

Predicting mental health problems in adolescence using machine ...

Predicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, ...

Predicting adolescent depression and anxiety from multi-wave ...

The current study used ML to predict depression and anxiety disorders in mid-adolescence using information from multiple waves of assessment ...

Anxiety onset in adolescents: a machine-learning prediction

To conclude, in non-anxious 14 year old adolescents, future clinical anxiety onset 4–8 years later could be individually predicted.

Predicting treatment response in adolescents and young adults with ...

Mood disorders, as major depressive disorder (MDD) or bipolar disorder (BD), are a common mental disorder that often occur in adolescents and young adults ( ...

Predicting Adolescent Treatment Access - OSF

Conclusions: Neither individual depressive symptoms nor any socioeconomic variables meaningfully predicted specific or overall mental health treatment access in ...

Prediction of adolescent depression from prenatal and childhood ...

We trained and compared several cross-sectional and longitudinal machine learning techniques and found the resulting models predicted adolescent ...

[PDF] Prediction of the trajectories of depressive symptoms among ...

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence · Psychology, Computer Science. Translational psychiatry.

Assessing a prediction model for depression risk using an early ...

Major depressive disorder (MDD) in adolescence is a risk factor for poor physical and psychiatric outcomes in adulthood, with earlier age of ...

Predicting Adolescent Mental Health Outcomes Across Cultures

This study demonstrates how data- and theory-driven methods can be integrated to identify the most important preadolescent risk factors in predicting ...

Prediction Score Performance in Cohorts Based in 3

systematically highlighted as a major barrier for child and adolescent mental health care.34 ... changes in psychiatric burden, either from individual or.