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

doi:10.1145/330560.330570

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

Computer Science

Research output: Contribution to book or proceeding › Chapter

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 language	American English
Title of host publication	Proceedings of the 1998 ACM Symposium on Applied Computing (SAC'98)
DOIs	https://doi.org/10.1145/330560.330570
State	Published - Feb 1998

Keywords

ADD
Attention Deficit Disorder
Children
Development
Monkeys
Neural network approach
Profiles

DC Disciplines

Computer Sciences
Engineering

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10.1145/330560.330570License: Unspecified

Cite this

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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.",

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N2 - 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.

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KW - Attention Deficit Disorder

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KW - Development

KW - Monkeys

KW - Neural network approach

KW - Profiles

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DO - 10.1145/330560.330570

M3 - Chapter

BT - Proceedings of the 1998 ACM Symposium on Applied Computing (SAC'98)

ER -

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

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