A Study On The Impact Of Machine Learning Tools For Detecting Anxiety Disorders In Preschool Children

International Conference on Recent Advancements and Effectual Researches in Engineering Science and Technology

Anugraha, K.R.^1 ; Vineetha, S.^2

Computer Science and Engineering, RIT, Kottayam, India^1

Faculty of Computer Science and Engineering, RIT, Kottayam, India^2

关键词: Machine learning techniques;    Pre-school children;    Screening tool;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/396/1/012018/pdf
DOI  :  10.1088/1757-899X/396/1/012018

来源: IOP

【 摘 要 】

Nowadays anxiety disorders in preschool children is an interesting area for researchers. There are different types of anxiety disorders in which generalized anxiety disorder and separation anxiety disorders has high chance of occurrence among preschool children. Early identification of anxiety disorders in childhood can often prevent the persistence of these difficulties and appropriate treatments can improve the quality of their life. In light of the high prevalence of these disorders and the associated short and long-term impairment, there is a critical need for developing reliable and valid methods for measuring and monitoring the severity of these disorders and their symptoms. This survey discusses different studies in preschool anxiety disorders and different methods that are used as scales for measuring anxiety disorders. This paper also describes a machine learning technique using ADTree classifier for developing a screening tool for detecting anxiety disorders in preschool children. It was found that ADScore generated by ADTree can be used to measure the severity of disorder.