Towards a general theory of action and time
Artificial Intelligence
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Learning Qualitative Models of Dynamic Systems
Machine Learning - special issue on inductive logic programming
Deriving Trends in Historical and Real-Time Continuously Sampled Medical Data
Journal of Intelligent Information Systems - Special issue on integrating artificial intelligene and database technologies
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Interpreting Historical ICU Data Using Associational and Temporal Reasoning
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Probabilistic discovery of time series motifs
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering Similar Patterns for Characterizing Time Series in a Medical Domain
Knowledge and Information Systems
Data Mining
M-HTP: A system for monitoring heart transplant patients
Artificial Intelligence in Medicine
Characterization of medical time series using fuzzy similarity-based fractal dimensions
Artificial Intelligence in Medicine
A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders
Artificial Intelligence in Medicine
The socio-organizational age of artificial intelligence in medicine
Artificial Intelligence in Medicine
Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
Expert Systems with Applications: An International Journal
Efficient mining of understandable patterns from multivariate interval time series
Data Mining and Knowledge Discovery
Data mining with Temporal Abstractions: learning rules from time series
Data Mining and Knowledge Discovery
Discovery and inclusion of SOFA score episodes in mortality prediction
Journal of Biomedical Informatics
Precedence Temporal Networks to represent temporal relationships in gene expression data
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
Temporal Data Mining with Temporal Constraints
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Discovery and Integration of Organ-Failure Episodes in Mortality Prediction
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Case-based retrieval to support the treatment of end stage renal failure patients
Artificial Intelligence in Medicine
A data mining framework for time series estimation
Journal of Biomedical Informatics
A multidimensional temporal abstractive data mining framework
HIKM '10 Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management - Volume 108
Using data mining techniques to predict hospitalization of hemodialysis patients
Decision Support Systems
Visually defining and querying consistent multi-granular clinical temporal abstractions
Artificial Intelligence in Medicine
Case based representation and retrieval with time dependent features
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Learning rules with complex temporal patterns in biomedical domains
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Using a bayesian-network model for the analysis of clinical time-series data
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Querying temporal clinical databases on granular trends
Journal of Biomedical Informatics
Mining association rules from time series to explain failures in a hot-dip galvanizing steel line
Computers and Industrial Engineering
Discovering metric temporal constraint networks on temporal databases
Artificial Intelligence in Medicine
Automatic Learning of Temporal Relations Under the Closed World Assumption
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
Developing a hybrid predictive system for retinopathy
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Objective:: This paper describes the temporal data mining aspects of a research project that deals with the definition of methods and tools for the assessment of the clinical performance of hemodialysis (HD) services, on the basis of the time series automatically collected during hemodialysis sessions. Methods:: Intelligent data analysis and temporal data mining techniques are applied to gain insight and to discover knowledge on the causes of unsatisfactory clinical results. In particular, two new methods for association rule discovery and temporal rule discovery are applied to the time series. Such methods exploit several pre-processing techniques, comprising data reduction, multi-scale filtering and temporal abstractions. Results:: We have analyzed the data of more than 5800 dialysis sessions coming from 43 different patients monitored for 19 months. The qualitative rules associating the outcome parameters and the measured variables were examined by the domain experts, which were able to distinguish between rules confirming available background knowledge and unexpected but plausible rules. Conclusion:: The new methods proposed in the paper are suitable tools for knowledge discovery in clinical time series. Their use in the context of an auditing system for dialysis management helped clinicians to improve their understanding of the patients' behavior.