Title :
Use of artificial neural network as a risk assessment tool in preventing child abuse
Author_Institution :
Ackoff Center for Adv. of Syst. Approaches, Pennsylvania Univ., Philadelphia, PA, USA
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;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939573
