Application of genetic algorithm and k-nearest neighbour method in medical fraud detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1585, Issue , 1999, Pages 74-81

  He, Hongxing ^a   Graco, Warwick ^a   Yao, Xin ^b  

^a Health Insurance Commission   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CRIME; GENETIC ALGORITHMS; HEALTH INSURANCE; NEAREST NEIGHBOR SEARCH; STATISTICAL TESTS;

CLASSIFICATION METHODOLOGIES; FRAUD DETECTION; GENERAL PRACTITIONERS; ITS APPLICATIONS; K NEAREST NEIGHBOURS (K-NN); K-NEAREST NEIGHBOUR METHOD; NEAREST NEIGHBOUR; OPTIMAL WEIGHTING;

LEARNING ALGORITHMS;

EID: 84956864676     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48873-1_11     Document Type: Conference Paper

References (6)

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3. H. He, W. Graco, J. Wang, and Simon Hawkins. Application of neural networks in medical fraud detection. Expert Systems with Application, 13(4):329-336, 1997.
4. J.H. Holland. Adaptation in Natural and Artificial System. MIT Pres, Massachusett, 1992.
5. F. Luan, H. He, and W. Graco. A comparison of a number of supervised-learning techniques for classifying a sample of general practitioners’ practice profilil. In Laurie Lock Lee and John Hough, editors, AI95, Eighth Australian Joint Artificial Intelligence Conference, pages 114-133, Canberra, Australia, November 1995.
6. J. C. Wang, M. Boland, W. Graco, and H. He. Classifying general practitioner practice profiles. In P. Compton, R. Mizoguchi, H. Motoda, and T. Menzies, editors, PKAW96: The Pacific Knowledge Acquisition Workshop, pages 333-345, Coogee, Sydney, Australia, October 1996.