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Volumn 26, Issue 11 SPEC.ISS., 2004, Pages 1081-1095

Computational intelligence techniques for risk assessment and decision support

Author keywords

Computational intelligence; Decision support; Risk assessment

Indexed keywords


EID: 5744229105     PISSN: 01907409     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.childyouth.2004.08.007     Document Type: Article
Times cited : (20)

References (45)
  • 2
    • 0034311219 scopus 로고    scopus 로고
    • The relative validity of actuarial and consensus-based risk assessment systems. Risk assessment in context
    • C. Baird D. Wagner The relative validity of actuarial and consensus-based risk assessment systems. Risk assessment in context Children and Youth Services Review 22 11-12 2000 839-871
    • (2000) Children and Youth Services Review , vol.22 , Issue.11-12 , pp. 839-871
    • Baird, C.1    Wagner, D.2
  • 3
    • 0003479517 scopus 로고    scopus 로고
    • Genetic programming: An introduction on the automatic evolution of computer programs and its applications
    • California: Morgan Kaufmann Publishers; Heidelberg: dpunkt.verlag
    • Banzhaf W. Nordin P. Keller R.E. Francone F.D. 1998 Genetic programming: An introduction on the automatic evolution of computer programs and its applications. California: Morgan Kaufmann Publishers; Heidelberg: dpunkt.verlag
    • (1998)
    • Banzhaf, W.1    Nordin, P.2    Keller, R.E.3    Francone, F.D.4
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Machine Learning 24 2 1996 123-140
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 7
    • 0003868843 scopus 로고
    • Fuzzy logic for business and industry
    • Massachusetts: Charles River Media
    • E.D. Cox Fuzzy logic for business and industry 1995 Charles River Media Massachusetts
    • (1995)
    • Cox, E.D.1
  • 8
    • 0034333684 scopus 로고    scopus 로고
    • Stability problems with artificial neural networks and the ensemble solution
    • P. Cunningham J. Carney S. Jacob Stability problems with artificial neural networks and the ensemble solution Artificial Intelligence in Medicine 20 3 2000 217-225
    • (2000) Artificial Intelligence in Medicine , vol.20 , Issue.3 , pp. 217-225
    • Cunningham, P.1    Carney, J.2    Jacob, S.3
  • 10
    • 0034311446 scopus 로고    scopus 로고
    • Assessing risk in child maltreatment. Risk assessment in context
    • E. Gambrill A. Shlonsky Assessing risk in child maltreatment. Risk assessment in context Children and Youth Services Review 22 11/12 2000 813-837
    • (2000) Children and Youth Services Review , vol.22 , Issue.11-12 , pp. 813-837
    • Gambrill, E.1    Shlonsky, A.2
  • 12
    • 0000746883 scopus 로고
    • Escaping brittleness: The possibilities of general-purpose learning algorithms applied to parallel rule-based systems
    • R.S. Michalski J.G. Carbonell & T.M. Mitchell (Eds.) Morgan Kaufmann California
    • J.H. Holland Escaping brittleness: The possibilities of general-purpose learning algorithms applied to parallel rule-based systems In: R.S. Michalski J.G. Carbonell & T.M. Mitchell (Eds.) Machine Learning, An Artificial Intelligence Approach vol. II 1986 Morgan Kaufmann California 593-623
    • (1986) Machine Learning, an Artificial Intelligence Approach , vol.2 , pp. 593-623
    • Holland, J.H.1
  • 13
    • 0034192615 scopus 로고    scopus 로고
    • The learning classifier system: An evolutionary computation approach to knowledge discovery in epidemiologic surveillance
    • J.H. Holmes D.R. Durbin F.K. Winston The learning classifier system: An evolutionary computation approach to knowledge discovery in epidemiologic surveillance Artificial Intelligence in Medicine 19 1 2000 53-74
    • (2000) Artificial Intelligence in Medicine , vol.19 , Issue.1 , pp. 53-74
    • Holmes, J.H.1    Durbin, D.R.2    Winston, F.K.3
  • 15
    • 0002593198 scopus 로고
    • Genetic algorithms and their applications to the design of neural networks
    • A.J. Jones Genetic algorithms and their applications to the design of neural networks Neural Computing and Applications 1 1 1993 32-45
    • (1993) Neural Computing and Applications , vol.1 , Issue.1 , pp. 32-45
    • Jones, A.J.1
  • 17
    • 0037292431 scopus 로고    scopus 로고
    • Building a case-based diet recommendation system without a knowledge engineer
    • A.S. Khan A.G. Hoffman Building a case-based diet recommendation system without a knowledge engineer Artificial Intelligence in Medicine 27 2 2003 155-179
    • (2003) Artificial Intelligence in Medicine , vol.27 , Issue.2 , pp. 155-179
    • Khan, A.S.1    Hoffman, A.G.2
  • 18
    • 0003666747 scopus 로고
    • Neural networks and fuzzy systems, a dynamic system approach to machine intelligence
    • New Jersey: Prentice Hall
    • B. Kosko Neural networks and fuzzy systems, a dynamic system approach to machine intelligence 1992 Prentice Hall New Jersey
    • (1992)
    • Kosko, B.1
  • 19
    • 0000749354 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • G. Tesauro D. Touretzky T. Leen (Eds.) MIT Press Cambridge, MA
    • A. Krogh J. Vedelsby Neural network ensembles, cross validation, and active learning In: G. Tesauro D. Touretzky T. Leen (Eds.) Advances in Neural Information Processing Systems vol. 7 1995 MIT Press Cambridge, MA
    • (1995) Advances in Neural Information Processing Systems , vol.7
    • Krogh, A.1    Vedelsby, J.2
  • 20
    • 0034153126 scopus 로고    scopus 로고
    • Neural network modeling of risk assessment in child protective services
    • D.B. Marshall D.J. English Neural network modeling of risk assessment in child protective services Psychological Methods 5 1 2000 102-124
    • (2000) Psychological Methods , vol.5 , Issue.1 , pp. 102-124
    • Marshall, D.B.1    English, D.J.2
  • 21
    • 0037211870 scopus 로고    scopus 로고
    • Midpoints for fuzzy sets and their application in medicine
    • J.J. Nieto A. Torres Midpoints for fuzzy sets and their application in medicine Artificial Intelligence in Medicine 27 1 2003 81-101
    • (2003) Artificial Intelligence in Medicine , vol.27 , Issue.1 , pp. 81-101
    • Nieto, J.J.1    Torres, A.2
  • 23
    • 0030987793 scopus 로고    scopus 로고
    • Use of a probabilistic neural network to estimate the risk of mortality after cardiac surgery
    • R.K. Orr Use of a probabilistic neural network to estimate the risk of mortality after cardiac surgery Medical Decision Making 17 1997 178-185
    • (1997) Medical Decision Making , vol.17 , pp. 178-185
    • Orr, R.K.1
  • 26
    • 5744230773 scopus 로고    scopus 로고
    • Issues in risk assessment in child protective services
    • Policy White Paper, North American Resource Center for Child Welfare, Center for Child Welfare Policy. Columbus, OH
    • Rycus J.S. Hughes R.C. 2003 Issues in risk assessment in child protective services. Policy White Paper, North American Resource Center for Child Welfare, Center for Child Welfare Policy. Columbus, OH
    • (2003)
    • Rycus, J.S.1    Hughes, R.C.2
  • 30
    • 0003565249 scopus 로고    scopus 로고
    • Combining artificial neural nets: Ensemble and modular multi-net systems
    • London: Springer-Verlag
    • D. Sharkey Combining artificial neural nets: Ensemble and modular multi-net systems 1999 Springer-Verlag London
    • (1999)
    • Sharkey, D.1
  • 31
    • 0032073506 scopus 로고    scopus 로고
    • Classification of seismic signals by integrating ensembles of neural networks
    • Y. Shimshoni N. Intrator Classification of seismic signals by integrating ensembles of neural networks IEEE Transactions on Signal Processing 46 5 1998 1194-1201
    • (1998) IEEE Transactions on Signal Processing , vol.46 , Issue.5 , pp. 1194-1201
    • Shimshoni, Y.1    Intrator, N.2
  • 32
    • 0344447109 scopus 로고    scopus 로고
    • Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches
    • B. Sierra P. Larrañaga Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches Artificial Intelligence in Medicine 14 1-2 1998 215-230
    • (1998) Artificial Intelligence in Medicine , vol.14 , Issue.1-2 , pp. 215-230
    • Sierra, B.1    Larrañaga, P.2
  • 34
    • 0037211357 scopus 로고    scopus 로고
    • Evaluation of inherent performance of intelligent medical decision support systems: Utilizing neural networks as an example
    • A.E. Smith C.D. Nugent S.I. McClean Evaluation of inherent performance of intelligent medical decision support systems: Utilizing neural networks as an example Artificial Intelligence in Medicine 27 1 2003 1-27
    • (2003) Artificial Intelligence in Medicine , vol.27 , Issue.1 , pp. 1-27
    • Smith, A.E.1    Nugent, C.D.2    McClean, S.I.3
  • 35
    • 0000524365 scopus 로고    scopus 로고
    • Learning with ensembles: How over-fitting can be useful
    • D. Touretzky M. Mozer & M. Hasselmo (Eds.) MIT Press Cambridge, MA
    • P. Sollich A. Krogh Learning with ensembles: How over-fitting can be useful In: D. Touretzky M. Mozer & M. Hasselmo (Eds.) Advances in Neural Information Processing Systems vol. 8 1996 MIT Press Cambridge, MA
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Sollich, P.1    Krogh, A.2
  • 36
    • 0037291442 scopus 로고    scopus 로고
    • Evolutionary computing for knowledge discovery in medical diagnosis
    • K.C. Tan Q. Yu C.M. Heng T.H. Lee Evolutionary computing for knowledge discovery in medical diagnosis Artificial Intelligence in Medicine 27 2 2003 129-154
    • (2003) Artificial Intelligence in Medicine , vol.27 , Issue.2 , pp. 129-154
    • Tan, K.C.1    Yu, Q.2    Heng, C.M.3    Lee, T.H.4
  • 38
    • 5744248195 scopus 로고    scopus 로고
    • Ensembles of radial basis function networks for spectroscopic detection of cervical pre-cancer
    • Citeseer.com. Available at
    • Tumer K. Ramanujam N. Ghosh J. Richards-Kortum R. 1998 Ensembles of radial basis function networks for spectroscopic detection of cervical pre-cancer. Citeseer.com. Available at: http://citeseer.nj.nec.com/tumer98ensembles.html
    • (1998)
    • Tumer, K.1    Ramanujam, N.2    Ghosh, J.3    Richards-Kortum, R.4
  • 39
    • 5744220063 scopus 로고    scopus 로고
    • Emerging practices in the prevention of child abuse and neglect, risk and protective factors for child abuse and neglect fact sheet
    • U.S. Department of Health and Human Services, Administration for Children and Families, Children's Bureau, Office on Child Abuse and Neglect
    • U.S. Department of Health and Human Services, Administration for Children and Families, Children's Bureau, Office on Child Abuse and Neglect Emerging practices in the prevention of child abuse and neglect, risk and protective factors for child abuse and neglect fact sheet 2003
    • (2003)
  • 41
    • 0025517572 scopus 로고
    • Risk assessment: The emperor's new clothes?
    • M.S. Wald M. Woolverton Risk assessment: The emperor's new clothes? Child Welfare LXIX 6 1990 483-511
    • (1990) Child Welfare , vol.69 , Issue.6 , pp. 483-511
    • Wald, M.S.1    Woolverton, M.2
  • 42
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • X. Yao Evolving artificial neural networks Proceedings of the IEEE 87 9 1999 1423-1447
    • (1999) Proceedings of the IEEE , vol.87 , Issue.9 , pp. 1423-1447
    • Yao, X.1
  • 43
    • 0028385414 scopus 로고
    • Fuzzy logic, neural networks, and soft computing
    • L.A. Zadeh Fuzzy logic, neural networks, and soft computing Communications of the ACM 37 1994 77-84
    • (1994) Communications of the ACM , vol.37 , pp. 77-84
    • Zadeh, L.A.1
  • 44
    • 5744254323 scopus 로고    scopus 로고
    • Use of artificial neural network as a risk assessment tool in preventing child abuse
    • Available at
    • Zandi I. 2000 Use of artificial neural network as a risk assessment tool in preventing child abuse. Available at: http://www.acasa.upenn.edu/auto.htm.
    • (2000)
    • Zandi, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.