مشخصات پژوهش

صفحه نخست /نقش هوش مصنوعی در تشخیص ...
عنوان
نقش هوش مصنوعی در تشخیص کودکان مبتلا به ADHD
نوع پژوهش پایان نامه
کلیدواژه‌ها
هوش مصنوعی – اختلال ADHD - کودکان
چکیده
Attention Deficit Hyperactivity Disorder is a neurodevelopmental disorder characterized by symptoms such as inattention, hyperactivity, and impulsivity. According to the Centers for Disease Control, attention deficit hyperactivity disorder is a public health problem, and with 9.5% Prevalence is one of the most common functional disorders of childhood, such that about 5 to 10% of schoolchildren have this type of disorder. Various studies show an increasing growth in the rate of hyperactivity and attention deficit among schoolchildren. According to the National Children's Health Study of the United States in 2007, about 5 million children aged 4 to 17 had criteria and symptoms related to this disorder; despite this high number, only 50% of them have been diagnosed and treated. This issue is due to reasons such as the unknown root cause and abstract symptoms such as lack of attention in this disease. As the discussions related to the cause and pathophysiology of this disorder are still ongoing, attention deficit hyperactivity disorder is one of the disorders that, in addition to its main symptoms, which include attention deficit, hyperactive response inhibition, and impulsivity, have significant negative consequences in academic fields. It creates individual and social. Considering the importance of education and learning, especially at a young age, it is important to evaluate and identify the factors affecting learning in these children .
پژوهشگران محمد رعد مهدی الساعدی (دانشجو)، ناصر فرج زاده (استاد راهنما)، جلیل قویدل نیچران (استاد مشاور)