Medical data analysis using self-organizing data mining technologies

Systems Analysis Modelling Simulation

Volumn 43, Issue 10, 2003, Pages 1399-1408

  Lemke, Frank ^a   Mueller, Johann Adolf ^b  

^a DeltaDesign Software ^*  (Germany)

^b UNIVERSITY OF APPLIED SCIENCES DRESDEN   (Germany)

Author keywords

Data mining; GMDH neural networks; Heart disease diagnosis; Knowledge discovery; Pattern recognition; Rule induction

Indexed keywords

DATA MINING; DIAGNOSIS; FUZZY SETS; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

DIAGNOSIS COST REDUCTION; FUZZY RULES; KNOWLEDGE EXTRACTION; MEDICAL DATA;

DATA REDUCTION;

EID: 33746362557     PISSN: 02329298     EISSN: 10294902     Source Type: Journal    
DOI: 10.1080/02329290290027337     Document Type: Conference Paper

References (7)

1. U.M. Fayyad, G. Piatetsky-Shapiro and P. Smyth (1996). From data mining to knowledge discovery: an overview. In: U.M. Fayyad et al. (Ed.), Advances in Knowledge Discovery and Data Mining, pp. 1-36. AAAI Press/The MIT Press, Menlo Park, California.
2. J.-A. Mueller and F. Lemke (2000). Self-organizing data mining. Extracting knowledge from data. Libri BoD Hamburg, ISBN 3-89811-861-4. [http://www.amazon.de/exec/obidos/ASIN/3898118614/qid = 968391869/sr = 1-1/028-5980417-4438967].
3. http://www.ics.uci.edu/~mlearn/MLSummary.html (goto Heart Disease example).
4. ftp://ftp.ics.uci.edu/pub/machine-learning-databases/heart-disease/ heart-disease. names.
5. R. Detrano, A. Janosi, W. Steinbrunn, M. Pfisterer, J. Schmid, S. Sandhu, K. Guppy, S. Lee and V. Froelicher (1989). International application of a new probability algorithm for the diagnosis of coronary artery disease. American Journal of Cardiology, 64, 304-310.
6. J.-H. Gennari, P. Langley and D. Fisher (1989). Models of incremental concept formation. Artificial Intelligence, 40, 11-61.
7. http://www.knowledgeminer.net.