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Machine learning in mental health: a sco** review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
Toward precision medicine in ADHD
Attention-Deficit Hyperactivity Disorder (ADHD) is a complex and heterogeneous
neurodevelopmental condition for which curative treatments are lacking. Whilst …
neurodevelopmental condition for which curative treatments are lacking. Whilst …
Individualized prediction models in ADHD: a systematic review and meta-regression
There have been increasing efforts to develop prediction models supporting personalised
detection, prediction, or treatment of ADHD. We overviewed the current status of prediction …
detection, prediction, or treatment of ADHD. We overviewed the current status of prediction …
Annual Research Review: Translational machine learning for child and adolescent psychiatry
Children and adolescents could benefit from the use of predictive tools that facilitate
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …
[HTML][HTML] Effectiveness of mental health care by using machine learning on manufacturing worker
Despite the remarkable advancements in technology that have accelerated and enhanced
manufacturing processes, it remains crucial to acknowledge the ongoing significance of …
manufacturing processes, it remains crucial to acknowledge the ongoing significance of …
[HTML][HTML] Predicting efficacy of viloxazine extended-release treatment in adults with ADHD using an early change in ADHD symptoms: machine learning post hoc …
SV Faraone, R Gomeni, JT Hull, SA Chaturvedi… - Psychiatry …, 2022 - Elsevier
Early response to viloxazine extended-release (viloxazine ER, Qelbree®) treatment
predicted efficacy outcome in pediatric subjects with attention-deficit/hyperactivity disorder …
predicted efficacy outcome in pediatric subjects with attention-deficit/hyperactivity disorder …
[HTML][HTML] Early response to SPN-812 (viloxazine extended-release) can predict efficacy outcome in pediatric subjects with ADHD: a machine learning post-hoc analysis …
SV Faraone, R Gomeni, JT Hull, GD Busse, Z Melyan… - Psychiatry …, 2021 - Elsevier
Abstract Machine learning (ML) was used to determine whether early response can predict
efficacy outcome in pediatric subjects with ADHD treated with SPN-812. We used data from …
efficacy outcome in pediatric subjects with ADHD treated with SPN-812. We used data from …
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques
Abstract Background The proportion of Canadian youth seeking mental health support from
an emergency department (ED) has risen in recent years. As EDs typically address urgent …
an emergency department (ED) has risen in recent years. As EDs typically address urgent …
Neurobiological support to the diagnosis of ADHD in stimulant‐naïve adults: Pattern recognition analyses of MRI data
Objective In adulthood, the diagnosis of attention‐deficit/hyperactivity disorder (ADHD) has
been subject of recent controversy. We searched for a neuroanatomical signature …
been subject of recent controversy. We searched for a neuroanatomical signature …
Pharmacogenetics of methylphenidate in childhood attention-deficit/hyperactivity disorder: long-term effects
CI Gomez-Sanchez, JJ Carballo, R Riveiro-Alvarez… - Scientific reports, 2017 - nature.com
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in
which a significant proportion of patients do not respond to treatment. The objective of this …
which a significant proportion of patients do not respond to treatment. The objective of this …