A collaborative knowledge framework for personalized attention deficit hyperactivity disorder (ADHD) treatments

Attention Deficit Hyperactivity Disorder (ADHD) is a complex mental health disorder that can affect your child's success at school and his/her relationships. The symptoms of ADHD vary and are sometimes difficult to recognize. Many of the individual symptoms of ADHD are normal for children to experience. Evaluating the child under several criteria is necessary to make a diagnosis of ADHD. Generally, the diagnostic will conduct on children by the time they are teens, the average age of diagnosis is 7. Older children exhibiting these symptoms may have ADHD, but they often have exhibited rather than elaborate symptoms early in life. Attention Deficit Hyperactivity Disorder (ADHD)is a complex mental health disorder that can affect your child's success at school and his/her relationships. The symptoms of ADHD vary and are sometimes difficult to recognize. Many of the individual symptoms of ADHD are normal for children to experience. Evaluating the child under several criteria is necessary to make a diagnosis of ADHD. Generally, the diagnostic will conduct on children by the time they are teens, the average age of diagnosis is 7. Older children exhibiting these symptoms may have ADHD, but they often have exhibited rather than elaborate symptoms early in life. To further explain the above statement, the problems are summarized as follows: 1) lack of analysis framework for ADHD children, 2) lack of tools for recording behavioral symptoms of ADHD children include to and 3) the analysis takes longer time for children under 6 years old. Most of the time they are influenced by surrounding activities. The above diagnosis is rather difficult because the disease is rising gradually over a period, the disease can occur at the age of 3-7 years. For a person who receives a diagnosis of ADHD, the symptoms of inattention and hyperactivity-impulsivity must be chronic or long-lasting, impair the person’s functioning and cause the person to fall behind normal development for his/her age. The treatment of ADHD uses behavioral therapy (BT) and medication such as methylphenidate, dextroamphetamine, and pemoline statins for reducing restless children and helping them to concentrate on their studies and work. The main purpose of this research is to design a collaborative knowledge framework for personalized ADHD treatments. There are two main objectives, which are 1)to design a framework and develop a tool for observing and recording behavioral symptoms of ADHD children that can be used by doctors, parents, and teachers, and 2) to introduce effective algorithms for classifying ADHD types with appropriate individual behavioral therapy and activities recommendation. In our framework, we introduce a combined technique for ADHD classification using a machine learning approach. The expected outcome of our proposed framework is to provide an effective way to classify types of ADHD and to recommend appropriate treatments and therapy based on individual behavior