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Data Mining in Medicine: Selected Techniques and Applications (1998)  (Make Corrections)  
Nada Lavrac



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Abstract: . Widespread use of medical information systems and explosive growth of medical databases require traditional manual data analysis to be coupled with methods for efficient computer-assisted analysis. This paper presents selected data mining techniques that can be applied in medicine, and in particular some machine learning techniques including the mechanisms that make them better suited for the analysis of medical databases (derivation of symbolic rules, use of background knowledge, sensitivity ... (Update)

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BibTeX entry:   (Update)

@misc{ lavrac-data,
  author = "Nada Lavrac",
  title = "Data Mining in Medicine: Selected Techniques and Applications",
  url = "citeseer.ist.psu.edu/lavrac98data.html" }
Citations (may not include all citations):
2177   Programs for Machine Learning (context) - Quinlan - 1993
1543   Probabilistic Reasoning in Intelligent Systems: Networks of .. (context) - Pearl - 1988
1447   A mathematical theory of communication (context) - Shannon - 1948
1359   Induction of decision trees (context) - Quinlan - 1986
550   Parallel Distributed Processing (context) - Rumelhart, McClelland - 1986
503   Instance-based learning algorithms (context) - Aha, Kibler et al. - 1991
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291   Computer Systems that Learn (context) - Weiss, Kulikowski - 1991
286   Nearest neighbor pattern classification (context) - Cover, Hart - 1968
212   Inductive Logic Programming: Techniques and Applications (context) - Lavrac, Dzeroski - 1994
200   neural and statistical classification (context) - Michie, Spiegelhalter et al. - 1994
180   The CN2 induction algorithm (context) - Clark, Niblett - 1989
139   Knowledge discovery in databases: An overview - Frawley, Piatetsky-Shapiro et al. - 1991
130   Inverse entailment and Progol - Muggleton - 1995

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