A data driven machine learning approach to differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder based on the best-practice diagnostic instruments for autism

• Published in: Scientific reports Vol. 12; no. 1; pp. 18744 - 10
• Main Authors: Wolff, Nicole, Kohls, Gregor, Mack, Judith T., Vahid, Amirali, Elster, Erik M., Stroth, Sanna, Poustka, Luise, Kuepper, Charlotte, Roepke, Stefan, Kamp-Becker, Inge, Roessner, Veit
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 05.11.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 692/308/1426; 692/699/476/1311; 692/699/476/1373; Attention Deficit Disorder with Hyperactivity - diagnosis; Attention deficit hyperactivity disorder; Autism; Autism Spectrum Disorder - diagnosis; Autistic Disorder; Diagnosis; Humanities and Social Sciences; Humans; Hyperactivity; Learning algorithms; Machine Learning; multidisciplinary; Parents; Science; Science (multidisciplinary)

Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two frequently co-occurring neurodevelopmental conditions that share certain symptomatology, including social difficulties. This presents practitioners with challenging (differential) diagnostic considerations, pa...