The Development of Profiles for Children With Attention Deficit Disorder and Monkeys: A Neural Network Approach

Ray R. Hashemi, Michael S. Terry, Alexander A. Tyler, William Slikker, Merle G. Paule

Research output: Contribution to book or proceedingConference articlepeer-review

Abstract

As a part of an Operant Test Battery (OTB), a set of five behavioral tasks was given to a group of children at the Arkansas Children's Hospital (ACH) and a group of rhesus monkeys at the National Center for Toxicological Research (NCTR) [4]. Through a separate process, at ACH, the children had been diagnosed as Attention Deficit Disorder (ADD), boarder line ADD, or healthy. Using the Self-Organizing Map neural network [1], the profiles of both healthy monkeys and children of varied ages with ADD were then generated and compared. The goal is to determine whether the animal model shares certain traits characteristics of ADD.

Original languageEnglish
Title of host publicationProceedings of the 1998 ACM Symposium on Applied Computing, SAC 1998
PublisherAssociation for Computing Machinery
Pages55-59
Number of pages5
ISBN (Electronic)0897919696
DOIs
StatePublished - Feb 27 1998
Event1998 ACM Symposium on Applied Computing, SAC 1998 - Atlanta, United States
Duration: Feb 27 1998Mar 1 1998

Publication series

NameProceedings of the ACM Symposium on Applied Computing
Volume02-February-1998

Conference

Conference1998 ACM Symposium on Applied Computing, SAC 1998
Country/TerritoryUnited States
CityAtlanta
Period02/27/9803/1/98

Scopus Subject Areas

  • Software

Keywords

  • Attention deficit disorder
  • Profile
  • Profile relaxation
  • Self-organizing map
  • Signature

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