Using machine learning to improve diagnostic assessment of ASD in the light of specific differential and co‐occurring diagnoses

• Published in: Journal of child psychology and psychiatry Vol. 64; no. 1; pp. 16 - 26
• Main Authors: Schulte‐Rüther, Martin, Kulvicius, Tomas, Stroth, Sanna, Wolff, Nicole, Roessner, Veit, Marschik, Peter B., Kamp‐Becker, Inge, Poustka, Luise
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 01.01.2023
• Subjects: Adolescent; Anxiety disorders; Artificial Intelligence; Attention deficit hyperactivity disorder; Autism; Autism Spectrum Disorder - diagnosis; Autism Spectrum Disorders; Behavior problems; Bias; Child; Classification; Clinical assessment; Clinical experience; Clinical medicine; Communication; Conduct disorder; diagnosis; Feasibility; Humans; Interpersonal Relationship; Machine Learning; Medical decision making; Medical diagnosis; Observation; Older children; Social interaction; Symptoms; Translation; Autism spectrum disorders; diagnosis; Machine learning

Background Diagnostic assessment of ASD requires substantial clinical experience and is particularly difficult in the context of other disorders with behavioral symptoms in the domain of social interaction and communication. Observation measures such as the Autism Diagnostic Observation Schedule (AD...