Published August 5, 2022 | Version v1
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Prediction of Psychological Disorders among Palestinian Children Using Data Mining Techniques

Authors/Creators

  • 1. Department of Software Engineering, University of Palestine, Gaza, Palestine

Description

Abstract: The psychological disorders have increased especially during the COVID-19 pandemic. Such mental disorders increased with the continuity of the military escalation, wars, and violence in Palestine. Such an unhealthy environment caused a third of the Palestinian population to need psychological health services. Furthermore, children have more suffering from such psychological disorders and need much effort to make recover their normal mental health. This study aims to investigate the prediction of psychological disorders among Palestinian children and identify the proper machine learning classifier using data Mining techniques. The dataset was collected from handwriting clinical psychologist papers under the supervision of a psychologist. 133 instances were distributed on 54 mental attributes including the class attribute. The study focuses on eight simple and complex psychological disorders. However, eight classification models of machine learning were utilized. Results show that all models (AdaBoost, Neural Network, Logistic Regression, Random Forest, SVM, Tree, KNN, and Naive Bayes) have an excellent AUC (more than 0.9). Furthermore, five models that are AdaBoost, Neural Network, Logistic Regression, Random Forest, and SVM have an acceptable accuracy between 94% to 98.5%.

Keywords: Psychological Disorder Classification, Data Mining, Mental Illness,  Mental Disorder Prediction.

Title: Prediction of Psychological Disorders among Palestinian Children Using Data Mining Techniques

Author: Naji Shukri Alzaza

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 9, Issue 2, May 2022 - August 2022

Page No: 44-51

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 05-August-2022

DOI: https://doi.org/10.5281/zenodo.6967463

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Notes

International Journal of Novel Research in Computer Science and Software Engineering, ISSN 2394-7314, Novelty Journals, Website: www.noveltyjournals.com

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