Advanced searches left 3/3

ADHD Assessment - Crossref

Summarized by Plex Scholar
Last Updated: 10 July 2022

* If you want to update the article please login/register

Diagnostic Classification of ADHD Versus Control: Support Vector Machine Classification Using Brief Neuropsychological Assessment

The aim of this report was to determine the effectiveness of machine learning in the detection and classification of children with ADHD in the prevention and classification of ADHD in children under the age of u2013. Parents with ADHD were interviewed and completed symptom severity questionnaires, and children with ADHD were tested for several conditions. SVM model provided excellent classification accuracy of individual children with and without ADHD. People with and without ADHD-C were found with 100% sensitivity and specificity by decision tree algorithms, which led to 100% sensitivity and specificity.

Source link: https://doi.org/10.1177/1087054716649666

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions