Diagnostic Biomarker Exploration of Autistic Patients With Different Ages and Different Verbal Intelligence Quotients Based on Random Forest Model

• Published in: IEEE access Vol. 9; pp. 123861 - 123872
• Main Authors: Ke, Fengkai, Liu, Huanping, Zhou, Mingcheng, Yang, Rui, Cao, Hui-Min
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Autism; Autism spectrum disorders; Biological system modeling; Biomarkers; Brain modeling; Classification; Data models; Data processing; Datasets; diagnostic biomarker; Diagnostic systems; Feature extraction; Intelligence; Machine learning; Model accuracy; Pathogenesis; Quotients; Radio frequency; random forest; Speech; Subgroups; Surface morphology

As a neurodevelopmental disorder with complex pathogenesis, the existing diagnostic methods of autism still only rely on the scale method. In recent years, there have been some methods using machine learning to classify Autism Spectrum Disorders (ASD), and achieved good accuracy. However, the genera...