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Prediction of Anger Expression of Individuals with Psychiatric Disorders using the Developed Computational Codes based on the Various Soft Computing Algorithms

Published online by Cambridge University Press:  23 December 2019

Maryam Moghadasin
Maryam Moghadasin*
Affiliation:
Kharazmi University (Iran)
*
*Correspondence concerning this article should be addressed to Maryam Moghadasin. Kharazmi University. Faculty of Psychology and Education. 14911–15719 Tehran (Iran). E-mail: [email protected]
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Abstract

Anger is defined as a psychobiological emotional state that consists of feelings varying in intensity from mild irritation or annoyance to intense fury and rage. Dysfunction in anger regulation is marker of most psychiatric disorders. The most important point about anger regulation by the individuals is how to express anger and control it. The purpose of the present study is to predict the anger expression from the anger experience in individuals with psychiatric disorder for assessment of how to express and control the anger. To this end, the number of 3,000 subjects of individuals with clinical disorders had filled in the State-Trait Anger Expression Inventory–II (STAXI–II). After removing the uncertain diagnoses (900 subjects), the number of 2,100 data was considered in the analysis. Then, the computational codes based on three soft computing algorithms, including Radial Basis Function (RBF), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Decision Tree (DT) were developed to predict the scales of anger expression of the individuals with psychiatric disorders. The scales of anger experience were used as input data of the developed computational codes. Comparison between the results obtained from the DT, RBF and ANFIS algorithms show that all the developed soft computing algorithms forecast the anger expression scales with an acceptable accuracy. However, the accuracy of the DT algorithm is better than the other algorithms.

Keywords

anger experienceanger expressionpredictionpsychiatric disorderssoft computing
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 22 , 2019 , E62
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2019 

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Footnotes

How to cite this article:

Moghadasin, M. (2019). Prediction of anger expression of individuals with psychiatric disorders using the developed computational codes based on the various soft computing algorithms. The Spanish Journal of Psychology, 22. e62. Doi:10.1017/sjp.2019.59

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