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  • 标题:Classification Rules for Attention Deficit Hyperactive Disorder using Decision tree
  • 本地全文:下载
  • 作者:J Anuradha ; N Jayasri ; Dr Arulalan K V
  • 期刊名称:International Journal of Computer Science and Communication Networks
  • 电子版ISSN:2249-5789
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:295-303
  • 出版社:Technopark Publications
  • 摘要:Attention Deficit Hyperactive Disorder (ADHD) is a common problem among children. This leads to lower performance, poor attention and unable to think. Considering the importance of ADHD (disorder), our focus is to classify the children based on their class room behavior. Decision tree is applied to screen the ADHD children. ADHD behavioral syndrome is characterized by the core symptoms of Hyperactive, Inattention and Impulsivity. Thisproblem is due to inattentiveness and over-activity. The children with ADHD will not pay attention, daydream, distracted, forget things, unable to stay in one place, fidget, talk too much, interrupt others etc. It is very difficult to identify and understand them. Deciding a child having ADHD involves several processes. They vary from child to child. ADHD cannot be cured but, treatments can be given to minimize the syndrome .It can be treated by medications, behavioral therapy and training for the parents to handle them in a special way. Medications can help a child to pay attention and to finish the given work in correct time. Misunderstanding between the child and the family members may happen, it will still worsen the situation. This happens due to stress, frustration and anger. Parents should give positive feedback and encourage them. Behavioral therapy helps to change the behavior of the child by several practices. DSM-IV diagnostic criteria are used to classify the behavior of the ADHD child. Data analysis is done for the children of age between 8 - 12years under the supervision of Dr. Arulalan at various schools in Vellore district. Decision tree algorithm is applied to our real dataset of 100 records and 98% accuracy is obtained. Classification rules are extracted and refined up to 8 rules. Our primary focus is to screen these children in class room environment and make awareness between the parent and child for better future. We have succeeded in our attempt
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