The use of machine learning techniques in trauma-related disorders: a systematic review-Reference-Cited by-同舟云学术

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The use of machine learning techniques in trauma-related disorders: a systematic review

Published:2020-02 Issue: Volume:121 Page:159-172
ISSN:0022-3956
Container-title:Journal of Psychiatric Research
language:en
Short-container-title:Journal of Psychiatric Research

Author:

Ramos-Lima Luis Francisco,Waikamp Vitoria,Antonelli-Salgado Thyago,Passos Ives Cavalcante,Freitas Lucia Helena Machado

Funder

Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES

Conselho Nacional de Pesquisa (CNPq

Publisher

Elsevier BV

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference81 articles.

1. Diagnostic and Statistical Manual of Mental Disorders;American Psychiatric Association,2013

2. When do traumatic experiences alter risktaking behavior? A machine learning analysis of reports from refugees;Augsburger;PLoS One,2017

3. A Deep transfer learning approach for improved post-traumatic stress disorder diagnosis;Banerjee,2017

4. Clinical implications of the proposed ICD-11 PTSD diagnostic criteria;Barbano;Psychol. Med.,2019

5. The importance of the DSM-5 posttraumatic stress disorder symptoms of cognitions and mood in traumatized children and adolescents: two network approaches;Bartels;J. Child Psychol. Psychiatry,2019

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