Maryam Jahanbakhsh - Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
Asal Aghadavodian Jolfaee - Dept. of Management and Health Information Technology, Isfahan University of Medical Sciences, Isfahan, Iran
Roya Kelishadi - Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
Mohammad Sattari - Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

Background and Objective: This study was conducted to shed light on the hidden relationships, trends, and patterns of the teenagers’ mental health dataset based on data mining techniques. Materials and Methods: The proposed method has four parts as follows: data preprocessing, data cleaning, target class selection, and extracting rules. The classes included inappropriate, moderate, and acceptable. The rules were extracted separately by implementing ID۳, CHAID, and rule induction on the Caspian ۵ dataset. Results: It was found that the teenagers who rarely drink carbonated soda and have dinner seven days a week, have acceptable status of mental health. Besides, watching TV and playing computer games for ۴ hours or more per week, drinking tea and packaged juices, eating cakes, cookies, pastries, biscuits, and chocolate weekly  could lead to inappropriate status of  mental health. Conclusion: An attempt to improve health especially in youth is one of the important concerns of every country.  The rules express the negative impact of soda on mental health. Besides, it can be concluded that there is a direct relationship between having breakfast and mental health.

Mental Health, Data Mining, Hidden Pattern, Iterative Dichotomiser ۳(ID۳)