A Neural Network Approach to the Classification of Autism

Neural network technology was compared with simultaneous and stepwise linear discriminant analysis in terms of their ability to classify and predict persons (n=138) as having autism or mental retardation. The neural network methodology was superior in both classifying groups and in generalizing to n...

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Veröffentlicht in:	Journal of autism and developmental disorders 1993-09, Vol.23 (3), p.443-466
1. Verfasser:	Cohen, Ira L
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Autism Autistic Disorder - classification Autistic Disorder - diagnosis Biological and medical sciences Child Classification Diagnosis, Computer-Assisted Discriminant Analysis Female Generalization Handicap Identification Humans Intellectual Disability - classification Intellectual Disability - diagnosis Male Medical sciences Mental Retardation Neural Net Models Neural network approach Neural Networks (Computer) Neurology Nosology. Terminology. Diagnostic criteria Prediction Psychiatric Status Rating Scales Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Reproducibility of Results Techniques and methods
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Beschreibung
Zusammenfassung:	Neural network technology was compared with simultaneous and stepwise linear discriminant analysis in terms of their ability to classify and predict persons (n=138) as having autism or mental retardation. The neural network methodology was superior in both classifying groups and in generalizing to new cases that were not part of the training sample. (Author/JDD)
ISSN:	0162-3257 1573-3432
DOI:	10.1007/bf01046050