Towards a general theory of action and time
Artificial Intelligence
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Mining association rules with multiple minimum supports
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining: Concepts, Models, Methods and Algorithms
Data Mining: Concepts, Models, Methods and Algorithms
Mining hepatitis data with temporal abstraction
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
Authorship verification as a one-class classification problem
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Artificial Intelligence in Medicine
Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
Expert Systems with Applications: An International Journal
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Data mining with Temporal Abstractions: learning rules from time series
Data Mining and Knowledge Discovery
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Temporal data mining for the quality assessment of hemodialysis services
Artificial Intelligence in Medicine
Knowledge discovery with classification rules in a cardiovascular dataset
Computer Methods and Programs in Biomedicine
An extended tuning method for cost-sensitive regression and forecasting
Decision Support Systems
Forecasting medical cost inflation rates: A model comparison approach
Decision Support Systems
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
Hemodialysis key features mining and patients clustering technologies
Advances in Artificial Neural Systems - Special issue on Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine
A service oriented architecture to provide data mining services for non-expert data miners
Decision Support Systems
Proposing a Business Model in Healthcare Industry: E-Diagnosis
International Journal of Healthcare Information Systems and Informatics
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
CBC: An associative classifier with a small number of rules
Decision Support Systems
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Hemodialysis patients might suffer from unhealthy care behaviors or long-term dialysis treatments and need to be hospitalized. If the hospitalization rate of a hemodialysis center is high, its service quality will be low. Therefore, decreasing hospitalization rate is a crucial problem for health care centers. This study combines temporal abstraction with data mining techniques for analyzing dialysis patients' biochemical data to develop a decision support system. The mined temporal patterns are helpful for clinicians to predict hospitalization of hemodialysis patients and to suggest immediate treatments to avoid hospitalization.