Abilities and Disabilities-Applying Machine Learning to Disentangle the Role of Intelligence in Diagnosing Autism Spectrum Disorders.

Wolff, Nicole; Eberlein, Matthias; Stroth, Sanna; Poustka, Luise; Roepke, Stefan; Kamp-Becker, Inge; Roessner, Veit

Wolff, Nicole; Eberlein, Matthias; Stroth, Sanna; Poustka, Luise; Roepke, Stefan; Kamp-Becker, Inge; Roessner, Veit.

Afiliación

Wolff N; Department of Child and Adolescent Psychiatry and Psychotherapy, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
Eberlein M; Institute of Circuits and Systems, Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany.
Stroth S; Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Philipps University, Marburg, Germany.
Poustka L; Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany.
Roepke S; Department of Psychiatry, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Kamp-Becker I; Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Philipps University, Marburg, Germany.
Roessner V; Department of Child and Adolescent Psychiatry and Psychotherapy, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.

Front Psychiatry ; 13: 826043, 2022.

Article en En | MEDLINE | ID: mdl-35308891

Palabras clave

ADOS; IQ; autism spectrum disorders; diagnostic; intellectual disability; intelligence; machine learning

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Psychiatry Año: 2022 Tipo del documento: Article País de afiliación: Alemania

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