DESIGNING A CLINICAL DECISION SUPPORT SYSTEM FOR DIFFERENTIATING ATTENTION DEFICIT/HYPERACTIVITY DISORDER FROM EMOTIONAL-BEHAVIORAL DISORDERS WITH SIMILAR SYMPTOMS: COMPARISON OF TWO COMMON ARTIFICIAL NEURAL NETWORKS

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DELAVARIAN MONA; TOWHIDKHAH FARZAD; DIBAJNIA PARVIN; AFROOZ GHOLAM ALI; NAYEBI ELAHE; GHARIBZADEH SHAHRIAR

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Journal: SCIENTIFIC JOURNAL OF REHABILITATION MEDICINE Year:2016 | Volume:5 | Issue:2 Page(s): 29-39

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Title

DESIGNING A CLINICAL DECISION SUPPORT SYSTEM FOR DIFFERENTIATING ATTENTION DEFICIT/HYPERACTIVITY DISORDER FROM EMOTIONAL-BEHAVIORAL DISORDERS WITH SIMILAR SYMPTOMS: COMPARISON OF TWO COMMON ARTIFICIAL NEURAL NETWORKS

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Keywords

ATTENTION DEFICIT/HYPERACTIVITY DISORDERQ1

ANXIETY DISORDERQ2

CHILD DEPRESSION DISORDERQ1

CONDUCT DISORDERQ1

MULTI-LAYER PERCEPTRON NEURAL NETWORKQ3

RADIAL BASIS FUNCTION NEURAL NETWORKQ1

Abstract

Background and Aim: The incidence of behavioral disorders among children and teenagers has recently found interest among researchers. Due to their harsh and offensive mood, most of the affected individuals are rejected from their families and society, which leads to decreasing their chance of normal development, so it is important to identify and treat them in the course as early as possible. Diagnosing and distinguishing ATTENTION DEFICIT/HYPERACTIVITY DISORDER from other similar behavioral disorders such as depression, anxiety, comorbid depression and anxiety, and CONDUCT DISORDERs is one of the most important and essential proceedings in field of child psychology disorders.Materials and Methods: The samples consisted of 271 children, including 44 with ADHD, 31 with conduct, 35 with depression, 33 with mixed depression and anxiety, and 41 with anxiety as well as 87 children with normal but temporarily aggressive behavior. In the present study, two different decision support systems, multilayer perceptron and RADIAL BASIS FUNCTION NEURAL NETWORKs, were designed and compared based on the signs and symptoms.Results: The mean of accuracy of the networks in diagnosis and distinguishing reached to 95.57 and 96.30 percentages with MLP and RBF, respectively. Therefore, the designed decision support systems, especially RBF, was observed to be a reliable assistant for the experts in the diagnosis and distinguishing the mentioned behavioral disorders.Conclusion: Both designed systems, especially RBF, can be used as a reliable device for distinguishing, diagnosing, and also screening of child emotional and behavioral disorders.

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References

DESIGNING AN ACCURATE SYSTEM FOR DIFFERENTIATING CHILDREN WITH ATTENTION DEFICIT-HYPERACTIVITY DISORDER FROM OPPOSITIONAL DEFIANT DISORDER BY USING ARTIFICIAL NEURAL NETWORK

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APA: Copy

DELAVARIAN, MONA, TOWHIDKHAH, FARZAD, DIBAJNIA, PARVIN, AFROOZ, GHOLAM ALI, NAYEBI, ELAHE, & GHARIBZADEH, SHAHRIAR. (2016). DESIGNING A CLINICAL DECISION SUPPORT SYSTEM FOR DIFFERENTIATING ATTENTION DEFICIT/HYPERACTIVITY DISORDER FROM EMOTIONAL-BEHAVIORAL DISORDERS WITH SIMILAR SYMPTOMS: COMPARISON OF TWO COMMON ARTIFICIAL NEURAL NETWORKS. SCIENTIFIC JOURNAL OF REHABILITATION MEDICINE, 5(2), 29-39. SID. https://sid.ir/paper/239665/en

Vancouver: Copy

DELAVARIAN MONA, TOWHIDKHAH FARZAD, DIBAJNIA PARVIN, AFROOZ GHOLAM ALI, NAYEBI ELAHE, GHARIBZADEH SHAHRIAR. DESIGNING A CLINICAL DECISION SUPPORT SYSTEM FOR DIFFERENTIATING ATTENTION DEFICIT/HYPERACTIVITY DISORDER FROM EMOTIONAL-BEHAVIORAL DISORDERS WITH SIMILAR SYMPTOMS: COMPARISON OF TWO COMMON ARTIFICIAL NEURAL NETWORKS. SCIENTIFIC JOURNAL OF REHABILITATION MEDICINE[Internet]. 2016;5(2):29-39. Available from: https://sid.ir/paper/239665/en

IEEE: Copy

MONA DELAVARIAN, FARZAD TOWHIDKHAH, PARVIN DIBAJNIA, GHOLAM ALI AFROOZ, ELAHE NAYEBI, and SHAHRIAR GHARIBZADEH, “DESIGNING A CLINICAL DECISION SUPPORT SYSTEM FOR DIFFERENTIATING ATTENTION DEFICIT/HYPERACTIVITY DISORDER FROM EMOTIONAL-BEHAVIORAL DISORDERS WITH SIMILAR SYMPTOMS: COMPARISON OF TWO COMMON ARTIFICIAL NEURAL NETWORKS,” SCIENTIFIC JOURNAL OF REHABILITATION MEDICINE, vol. 5, no. 2, pp. 29–39, 2016, [Online]. Available: https://sid.ir/paper/239665/en

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