A consensus glossary of temporal database concepts
ACM SIGMOD Record
Medical Data Mining on the Internet: Research on a Cancer Information System
Artificial Intelligence Review - Special issue on data mining on the Internet
A statistical approach to case based reasoning, with application to breast cancer data
Computational Statistics & Data Analysis
Research Issues in Clinical Data Warehousing
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Multidimensional Data Modeling for Complex Data
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Introduction to Database Systems
Introduction to Database Systems
A delivery framework for health data mining and analytics
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
A health-care data model based on the HL7 reference information model
IBM Systems Journal
MedTAKMI-CDI: interactive knowledge discovery for clinical decision intelligence
IBM Systems Journal
BIMS: an information management system for biobanking in the 21st century
IBM Systems Journal
Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
Predicting breast cancer survivability: a comparison of three data mining methods
Artificial Intelligence in Medicine
A comparison of linear genetic programming and neural networks inmedical data mining
IEEE Transactions on Evolutionary Computation
Comparison of tree-based methods for prognostic stratification of survival data
Artificial Intelligence in Medicine
Uniqueness of medical data mining
Artificial Intelligence in Medicine
A personalized medical information system
Proceedings of the 3rd Workshop on Software Engineering in Health Care
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Medical data mining is currently actively pursued in computer science and statistical research but not in medical practice. The reasons therefore lie in the difficulties of handling and statistically analyzing medical data. We have developed a system that allows practitioners in the field to interactively analyze their data without assistance of statisticians or data mining experts. In the course of this paper we will introduce data mining of medical data and show how this can be achieved for survival data. We will demonstrate how to solve common problems of interactive survival analysis by presenting the Online Clinical Data Mining (OCDM) system. Thereby the main focus is on similarity based queries, a new method to select similar cases based on their covariables and the influence of these on their survival.