Attention Deficit Hyperactivity Disorder: Behavioral or Neurodevelopmental Disorder? Testing the Hitop Framework Using Machine Learning Methods Publisher



Mohammadi MR¹ ; Khaleghi A¹ ; Shahi K¹ ; Zarafshan H¹ Show Affiliations
Source: JCI Insight Published:2023

Abstract

Background: In current study, we aimed to investigate if Attention Deficit Hyperactivity Disorder (ADHD) is better to be categorized among behavioral or neurodevelopmental disorders, based on some familial and environmental factors. Methods: We conducted correlation analysis to identify psychiatric disorders in the dataset which have an important impact on ADHD. Also, we used machine learning-based approaches combined with a feature selection algorithm to cluster and classify ADHD as a behavioral or neurodevelopmental disorder. Results: Model evaluation showed that ADHD is clustered in the group of behavioral disorders with the accuracy of 78%. Furthermore, Support Vector Machine (SVM) classified ADHD as a behavioral disorder with the accuracy of 72.66% and as a neurodevelopmental disorder with the accuracy of 60.07%. Conclusion: In sum, we can say that our findings support categorizations systems like HiTOP in comparison to DSM-5. However, as biological factors were not included in our analysis, it should be considered with caution and examined in future researches. Copyright 2023, Journal of Iranian Medical Council. All rights reserved.