Annual Research Review: Translational machine learning for child and adolescent psychiatry-Reference-Cited by-同舟云学术

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Annual Research Review: Translational machine learning for child and adolescent psychiatry

Published:2022-01-17 Issue:4 Volume:63 Page:421-443
ISSN:0021-9630
Container-title:Journal of Child Psychology and Psychiatry
language:en
Short-container-title:Child Psychology Psychiatry

Author:

Dwyer Dominic¹²³,Koutsouleris Nikolaos¹⁴⁵

Affiliation:

1. Department of Psychiatry and Psychotherapy Ludwig‐Maximilian‐University Munich Germany

2. Orygen The National Centre of Excellence in Youth Mental Health Melbourne Australia

3. Centre for Youth Mental Health University of Melbourne Melbourne Australia

4. Max‐Planck Institute of Psychiatry Munich Germany

5. Institute of Psychiatry Psychology and Neuroscience King’s College London London United Kingdom

Funder

National Institute of Mental Health

FP7 Health

Publisher

Wiley

Subject

Psychiatry and Mental health,Developmental and Educational Psychology,Pediatrics, Perinatology and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcpp.13545

Reference210 articles.

1. Machine learning for early detection of autism (and other conditions) using a parental questionnaire and home video screening

2. Machine learning approach for early detection of autism by combining questionnaire and home video screening

3. Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children

4. The search for imaging biomarkers in psychiatric disorders

5. A Machine Learning Strategy for Autism Screening in Toddlers

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3. From personification abuse to normal expression: emotional treatment for language disorders in schools;Frontiers in Psychiatry;2024-05-31

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