Deep Learning-Based Modified Bidirectional LSTM Network for Classification of ADHD Disorder

• Published in: Arabian journal for science and engineering (2011) Vol. 49; no. 3; pp. 3009 - 3026
• Main Authors: Saurabh, Sudhanshu, Gupta, P. K.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024; Springer Nature B.V
• Subjects: Attention deficit hyperactivity disorder; Classification; Deep learning; Engineering; Humanities and Social Sciences; Medical imaging; multidisciplinary; Neurological diseases; Research Article-Computer Engineering and Computer Science; Science; ADHD; Resting State Network; Tensor; Bidirectional LSTM; Functional Connectivity; Deep Learning

Attention deficit hyperactivity disorder (ADHD) is a neurological disorder that affects an individual’s behavior. The rising cases of ADHD among children and adolescents worldwide have raised the concern and require techniques for its early diagnosis and identification. The symptoms of ADHD are char...