DocumentCode
1749264
Title
Use of artificial neural network as a risk assessment tool in preventing child abuse
Author
Zandi, Iraj
Author_Institution
Ackoff Center for Adv. of Syst. Approaches, Pennsylvania Univ., Philadelphia, PA, USA
Volume
2
fYear
2001
fDate
2001
Firstpage
1438
Abstract
Every year Child Protection Services (CPS) in the US receive millions of reports of incidences of children being abused. CPS, by law, is required to investigate these reports and if necessary to intervene to protect the children at risk. Since resources are limited, some kind of triage is taking place. Various CPS offices use different risk assessment tools. The purpose of the paper is to report on a preliminary effort to explore the feasibility of utilizing artificial neural network technology as a risk assessment tool
Keywords
multilayer perceptrons; pattern classification; principal component analysis; public administration; radial basis function networks; risk management; Child Protection Services; artificial neural network; child abuse; risk assessment tool; Algorithm design and analysis; Artificial neural networks; Intelligent networks; Multi-layer neural network; Neural networks; Protection; Resource management; Risk management; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.939573
Filename
939573
Link To Document