Here we summarize recent progress in machine learning model for diagnosis of Autism
Spectrum Disorder (ASD) and Attention-deficit/Hyperactivity Disorder (ADHD). We outline …

Within the clinical evaluation of adults with attention deficit hyperactivity disorder (ADHD),
cognitive functions are often assessed to characterize individual cognitive problems and …

Abstract Attention Deficit Hyperactivity Disorder (ADHD) is characterized as a behavioral
syndrome with core symptoms of inattention and/or hyperactivity/impulsivity that constitute …

Objective: Continuous performance tests (CPTs) usually utilize visual stimuli. A previous
investigation showed that inattention is partially independent of modality, but response …

Abstract People with Attention-Deficit Hyperactivity Disorder (ADHD) exhibit inattention,
hyperactivity, and/or impulsivity. Symptoms of ADHD emerge in childhood and can continue …

Background This research project aims to build a Machine Learning algorithm (ML) to
predict first‐time ADHD diagnosis, given that it is the most frequent mental disorder for the …

The current research aimed to study the effectiveness of mindfulness training on attention
and comprehension in children with a specific learning disability with impairment in …

Attention-deficit hyperactivity disorder (ADHD) is a highly prevalent, impairing, and comorbid
disorder that persists into adulthood. ADHD should be diagnosed in the same manner as …

El Trastorno por Déficit de atención e hiperactividad (TDAH) es un desorden del Neuro-
desarrollo, cuyos principales dominios sintomáticos son: la inatención, hiperactividad e …

Adulthood Attention-Deficit Hyperactivity Disorder (ADHD) debilitates high-level executive
functioning, attention and im-pulse control. There is a lack of consensus regarding the …