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The Autism Treatment Evaluation Scale (ATEC) is a 77-item diagnostic assessment tool that was developed by Bernard Rimland and Stephen Edelson at the Autism Research Institute. The ATEC was originally designed to evaluate the effectiveness of autism treatments, but it may also be beneficial as a screening tool for children.
The Child and Adolescent Symptom Inventory (CASI) is a behavioral rating checklist created by Kenneth Gadow and Joyce Sprafkin that evaluates a range of behaviors related to common emotional and behavioral disorders identified in the Diagnostic and Statistical Manual of Mental Disorders (DSM), including attention deficit hyperactivity disorder, oppositional defiant disorder, conduct disorder ...
The University of North Carolina TEACCH Autism Program creates and disseminates community-based services, training programs, and research for individuals of all ages and skill levels with autism spectrum disorder (ASD), to enhance the quality of life for them and their families across the lifespan. [1]
assess autism in children, adolescents, and adults The Autism Diagnostic Observation Schedule ( ADOS ) is a standardized diagnostic test for assessing autism spectrum disorder . The protocol consists of a series of structured and semi-structured tasks that involve social interaction between the examiner and the person under assessment.
Symptoms may also be mistaken for similarly presenting conditions such as malignant hyperthermia, serotonin syndrome, or withdrawal from illicit drugs such as alcohol, cocaine, or MDMA. [ 7 ] Neuroleptic malignant syndrome (NMS) usually presents with a "lead pipe rigidity" in which the muscles are stiffened and resistance is observed throughout ...
Haloperidol decanoate, sold under the brand name Haldol Decanoate among others, is a typical antipsychotic which is used in the treatment of schizophrenia. [2] [3] ...
In 2005, it was thought that: although some children with autism also have gastrointestinal (GI) symptoms, there is a lack of published rigorous data to support the theory that autistic children have more or different GI symptoms than usual; [182] studies report conflicting results, and the relationship between GI problems and ASD is unclear. [5]
Achenbach used machine learning and principal component analysis when developing the ASEBA in order to cluster symptoms together when forming the assessment's eight categories. This approach ignored the syndrome clusters found in the DSM-I, instead relying on patterns found in case records of children with identified psychopathologies.