Abstract
IntroductionMental disorders result in mental disabilities and discomfort in the affected person as they affect both thinking and behavior. Therefore, more vulnerable people must first be identified to improve the psychological level of society.AimThis study aims to determine the importance of gender, employment, education, place of residence, and age in predicting mental disorders using artificial neural network modeling.MethodsThe pattern held between variables in this study will be identified using multilayer feed-forward back-propagation neural networks with five inputs and 10 outputs. To determine the neural network with the least sum of square errors, we evaluated the performance of all neural networks with varying algorithms and different numbers of neurons in the hidden layer. Data were analyzed for 380 people aged 10–82 years using the SPSS software.ResultsThe optimal neural network model was effective in predicting mental disorders. In this model, the variables of the place of residence, education, age, gender, and employment were important in fitting the optimal model with 34.08, 20.11, 18.93, 14.55, and 12.33%, respectively. The accuracy rate for the neural network model was 99.2%.ConclusionTo achieve further results in improving mental health problems, it is better to focus more on employed, rural, and younger people with a non-tertiary education level.
Highlights
Mental disorders result in mental disabilities and discomfort in the affected person as they affect both thinking and behavior
According to the findings of this study, in the first level, special attention should be directed to the place of residence, education, and age of individuals
Rural youth who do not have an academic education are among the high-risk groups that are exposed to a variety of mental disorders and should be given more attention
Summary
Mental disorders result in mental disabilities and discomfort in the affected person as they affect both thinking and behavior. Mental disorders include a wide range of diseases that affect one's thinking and behavior, causing discomfort or disability to the sufferer [1e3]. These include mood disorders, depression, anxiety, obsessive-compulsive disorder, bipolar disorder, schizophrenia, mental retardation, and substance use disorders [1, 4]. According to a World Health Organization (WHO) report, 450 million people worldwide suffered from mental or behavioral disorders in 2001 [4, 5]. Many factors contribute to mental health disorders [3], they may occur due to genetic, social, and psychological factors and various stressors. Various studies have examined the status of mental disorders in terms of age, gender, race, and employment status
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