Proposing Two Hybrid Data Mining Models for Discovering Students' Mental Health Problems

Shabnam Shadroo,Samira Tavanaiee Yosefian,Morteza Naserbakht,Mohsen Yoosefi Nejad,Mehdi Hosseinzadeh

doi:10.18267/j.aip.148

Abstract

Mental health is an important issue for university students. The objective of this article was to apply and compare the different classification methods for students’ mental health problems. Furthermore, it presents an ensemble classification method to improve the accuracy of classifiers and assist psychologists in the decision making process. For this, 10 different classifiers were applied for classifying students into two groups. In addition, two methods of combining the classifiers are presented. In the first proposed method, the classifiers were selected based on their accuracy, and then voting was carried out based on maximum probability. In the second proposed method, the methods were combined based on the fields of the confusion table, and the voting was carried out based on majority voting scheme. These two methods were evaluated in two ways. Focusing on the accuracy and the maximum probability voting, the accuracy of the first method was 92.24%, whereas in the second method, it was 95.97%. Further, using confusion table and majority voting applied to the entire dataset, the accuracy reached 96.66%. The results are promising to assist the process of mental health assessment of students.

Highlights

Mental hygiene is part of the health evaluation of various societies
The construction and evaluation of the model were implemented using the proposed method and 10-fold cross validation was applied to the whole dataset from 2013 to 2015
For a further examination of the accuracy of the classifiers used in the article and an investigation of the proposed method, we compared the region under the ROC curve and the F-Measure criterion

Summary

Introduction

Mental hygiene is part of the health evaluation of various societies. Mental health is of great significance as it affects all aspects of daily life. The enrollment to a university is often accompanied by many changes in social and human relations In such a situation that often abounds with stress and worry, the operation and efficiency of people will be affected. It is impossible to avoid stressful factors and increasing changes In such a situation, a person who has prepared their physical and mental health is ready to encounter these stressful situations in life. Recognizing the factors conducive to mental health ( in students) is of special importance. For this reason, the program of mental health evaluation of new students is carried out nationally by all university counseling centers in Iran every year. This research tried to obtain more information about the students' mental well-being in terms of family atmosphere, efficacy, and social support

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Methods

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Discussion

Conclusion