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01-06-2012 | ORIGINAL PAPER

Designing a Decision Support System for Distinguishing ADHD from Similar Children Behavioral Disorders

Authors: Mona Delavarian, Farzad Towhidkhah, Parvin Dibajnia, Shahriar Gharibzadeh

Published in: Journal of Medical Systems | Issue 3/2012

Abstract

In this study, a decision support system was designed to distinguish children with ADHD from other similar children behavioral disorders such as depression, anxiety, comorbid depression and anxiety and conduct disorder based on the signs and symptoms. Accuracy of classifying with Radial basis function and multilayer neural networks were compared. Finally, the average accuracy of the networks in classification reached to 95.50% and 96.62% by multilayer and radial basis function networks respectively. Our results indicate that a decision support system, especially RBF, may be a good preliminary assistant for psychiatrists in diagnosing high risk behavioral disorders of children.

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Title: Designing a Decision Support System for Distinguishing ADHD from Similar Children Behavioral Disorders
Authors: Mona Delavarian
Farzad Towhidkhah
Parvin Dibajnia
Shahriar Gharibzadeh
Publication date: 01-06-2012
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 3/2012
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-010-9594-9

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Designing a Decision Support System for Distinguishing ADHD from Similar Children Behavioral Disorders

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

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