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Identification of the most indicative and discriminative features from diagnostic instruments for children with autism.

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第一作者： Sanna,Stroth

第一单位： Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy Philipps University of Marburg Marburg Germany.

作者： Sanna,Stroth ^[1] ; Johannes,Tauscher ^[2] ; Nicole,Wolff ^[3] ; Charlotte,Küpper ^[4] ; Luise,Poustka ^[5] ; Stefan,Roepke ^[4] ; Veit,Roessner ^[3] ; Dominik,Heider ^[2] ; Inge,Kamp-Becker ^[1]

作者单位： Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy Philipps University of Marburg Marburg Germany. ^[1] Department of Mathematics and Computer Science Philipps University of Marburg Marburg Germany. ^[2] Department of Child and Adolescent Psychiatry Faculty of Medicine TU Dresden Dresden Germany. ^[3] Department of Psychiatry Campus Benjamin Franklin Charité-Universitätsmedizin Berlin Berlin Germany. ^[4] Department of Child and Adolescent Psychiatry and Psychotherapy University Medical Center Göttingen Göttingen Germany. ^[5]

关键词 ADI‐R ADOS autism spectrum disorder diagnostic‐gold‐standard differential‐diagnosis machine learning

DOI 10.1002/jcv2.12023

PMID 37431472

发布时间 2024-09-19

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JCPP advances

2021年1卷2期

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Identification of the most indicative and discriminative features from diagnostic instruments for children with autism.

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Identification of the most indicative and discriminative features from diagnostic instruments for children with autism.

JCPP advances

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JCPP advances

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