Towards a general theory of action and time
Artificial Intelligence
Time series prediction using belief network models
International Journal of Human-Computer Studies - Special issue: real-world applications of uncertain reasoning
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Prediction of blood glucose levels in diabetic patients using a hybrid al technique
Computers and Biomedical Research
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ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
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AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
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AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Discovering Dynamics Using Bayesian Clustering
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
M-HTP: A system for monitoring heart transplant patients
Artificial Intelligence in Medicine
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mining hepatitis data with temporal abstraction
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Temporal reasoning for decision support in medicine
Artificial Intelligence in Medicine
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Exploiting temporal relations in mining hepatitis data
New Generation Computing
Temporal relations extraction in mining hepatitis data
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Intelligible support vector machines for diagnosis of diabetes mellitus
IEEE Transactions on Information Technology in Biomedicine
Case based representation and retrieval with time dependent features
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Data-driven analysis of blood glucose management effectiveness
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Intelligent data interpretation and case base exploration through temporal abstractions
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Data mining a diabetic data warehouse
Artificial Intelligence in Medicine
Feature Based Rule Learner in Noisy Environment Using Neighbourhood Rough Set Model
International Journal of Software Science and Computational Intelligence
Flexible and efficient retrieval of haemodialysis time series
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
Flexible case-based retrieval for comparative genomics
Applied Intelligence
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This paper describes the application of a method for the intelligent analysis of clinical time series in the diabetes mellitus domain. Such a method is based on temporal abstractions and relies on the following steps: (i) 'pre-processing' of raw data through the application of suitable filtering techniques; (ii) 'extraction' from the pre-processed data of a set of abstract episodes (temporal abstractions); and (iii) 'post-processing' of temporal abstractions; the post-processing phase results in a new set of features that embeds high level information on the patient dynamics. The derived features set is used to obtain new knowledge through the application of machine learning algorithms. The paper describes in detail the application of this methodology and presents some results obtained on simulated data and on a data-set of four diabetic patients monitored for 1 year.