Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …

Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

We performed this research to 1) evaluate a novel deep learning method for the diagnosis of
Alzheimer's disease (AD) and 2) jointly predict the Mini Mental State Examination (MMSE) …

Abstract Background and objective Attention-Deficit/Hyperactivity Disorder (ADHD) is a
chronic behavioral disorder in children. Children with ADHD face many difficulties in …

Attention-deficit/hyperactivity disorder (ADHD) is among the many syndromes in the
psychiatric nosology for which etiological signal and clinical prediction are weak. Reducing …

Motivation This study reports a framework to discriminate patients with schizophrenia and
normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain …

Children with neurodevelopmental disorders benefit most from early interventions and
treatments. The development and validation of brain-based biomarkers to aid in objective …

Background Attention deficit hyperactivity disorder (ADHD) is a ubiquitous
neurodevelopmental disorder affecting many children. Therefore, automated diagnosis of …

Abstract In the recent 5 years (2014–2018), there has been growing interest in the use of
machine learning (ML) techniques to explore image diagnosis and prognosis of therapeutic …

Alzheimer's disease (AD) is a progressive, neurodegenerative brain disorder that attacks
neurotransmitters, brain cells, and nerves, affecting brain functions, memory, and behaviors …