Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Machine Learning in Stepwise Diagnostic Process
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Inconsistency Tests for Patient Records in a Coronary Heart Disease Database
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
Expert-guided subgroup discovery: methodology and application
Journal of Artificial Intelligence Research
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The aim of this work is twofold: to illustrate power of unsupervised data analysis approach on routinely collected diagnostic data for coronary heart disease patients and to validate findings against cardiologist's own patient classification and expert analysis. In this respect emphasis in this work is not on prediction and accuracy but rather on discovering paths to extraction of new insights and/or knowledge of the domain. The work demonstrates the use of unsupervised classification for the partitioning of the database with the aim of amplifying predictability of models describing expert classification, as well as boosting cause-and-effect relationships hidden in data.