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Child Maltreatment Assessment by using Belief Rule based Expert System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 29 |
| Year of Publication: 2018 |
| Authors: Ferdous Ara, Nazmun Nahar |
10.5120/ijca2018916705
|
Ferdous Ara, Nazmun Nahar . Child Maltreatment Assessment by using Belief Rule based Expert System. International Journal of Computer Applications. 180, 29 ( Mar 2018), 30-36. DOI=10.5120/ijca2018916705
Abstract
Child maltreatment or abuse is a global public health issue. Child maltreatment is when a parent or caregiver causes injury, emotional harm or risk of serious harm to a child. Maltreated children rely on the eyes, ears and voices of their communities to help protect them from damage. Maltreatment child requires help or protection. This paper presents the accuracy of belief rule-based method over traditional primary assessment method using indicators (sign, symptoms and clue) of child maltreatment. The warning indicators of child maltreatment vary from child to child. They have different ways of coping with maltreatment, and the indicators often depend on each child’s characteristics and environment. Recognizing the indicators of child maltreatment is important. Various uncertainties such as ignorance, incompleteness, randomness, and imprecision exist in the indicators of child maltreatments. The traditional assessment system which is carried by an expert, cannot give dependable results. In contrast, the belief rule-based expert system can adapt to the uncertain indicators to assess child maltreatment. The knowledge base of this method is based on the expert opinion. The results obtained from the proposed system have shown that the expert system’s results are more accurate and reliable than traditional system.
References
- Mercy, J. A., & Saul, J. 2009. Creating a healthier future through early interventions for children. JAMA: Journal of the American Medical Association, 301, pg 1–3.
- World Health Organization. 2016. Child maltreatment. Fact sheet. Reviewed September 2016. [Online]. Available:
- http://www.who.int/mediacentre/factsheets/fs150/en/
- U.S. Department of Health & Human Services. 2015. Child maltreatment. Children’s Bureau, Administration on Children, Youth and Families. Available: https://americanspcc.org/wp-content/uploads/2014/03/2015-Child-Maltreatment.pdf
- Leeb, R.T., Paulozzi, L.J., Melanson, C., Simon, T.R., Arias, I. 2008. Child Maltreatment Surveillance: Uniform Definitions for Public Health and Recommended Data Elements, Version 1.0, Centers for Disease Control and Prevention National Center for Injury Prevention and Control Atlanta, Georgia.
- Gilbert, R., Widom, C.S., Browne, K., Fergusson, D.M., Elspeth, W., & Janson, S. 2009. Child Maltreatment 1: Burden and consequences of child maltreatment in high-income countries. The Lancet. 373, pg 68–81.
- World Health Organization. 2017. Child deaths from abuse and neglect. CFCA Resource Sheet— October 2017. [Online]. Available: https://aifs.gov.au/cfca/publications/child-deaths-abuse-and-neglect.
- Yang, J.B., Liu, J., Wang, J., Sii, H.S., & Wang, H.W. 2006. Belief rule-base inference methodology using the evidential reasoning approach RIMER. IEEE Trans Syst Man Cybern Part A Syst Hum, 36 (2), pg 266–285.
- Yang, J.B. 2001. Rule and utility based evidential reasoning approach formulation attribute decision analysis under uncertainties. Eur J Oper Res, 131 (1), pg 31–61.
- Yang, J.B., & Sen, P.1994. A general multi-level evaluation process for hybrid MADM with uncertainty. IEEE Trans Syst Man Cybern, 24(10), pg 1458–1473.
- Metz, C.E. 1978. Basic principles of ROC analysis. Semin. Nucl. Med. 8(4), pg 283–298.
- Hanley, J.A. 1988. The robustness of the “Binormal” assumptions used in fitting ROC curves. Med Decis Making, 8(3), pg 197–203.
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