Towards a general theory of action and time
Artificial Intelligence
Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
TQuery: a context-sensitive temporal query language
Computers and Biomedical Research
RE´SUME´: a temporal-abstraction system for patient monitoring
Computers and Biomedical Research - Papers presented at the 16th symposium on computer applications in medical care (SCAMC)
Knowledge-based trend detection and diagnosis
Knowledge-based trend detection and diagnosis
LifeLines: visualizing personal histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Journal of Intelligent Information Systems - Special issue on integrating artificial intelligene and database technologies
Dynamic temporal interpretation contexts for temporal abstraction
Annals of Mathematics and Artificial Intelligence
CAPSUL: A constraint-based specification of repeating patterns in time-oriented data
Annals of Mathematics and Artificial Intelligence
Sequential PAttern mining using a bitmap representation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
TEMPORAL REASONING IN MEDICAL EXPERT SYSTEMS
TEMPORAL REASONING IN MEDICAL EXPERT SYSTEMS
Vm: representing time-dependent relations in a medical setting
Vm: representing time-dependent relations in a medical setting
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Journal of Intelligent Information Systems
Data mining with Temporal Abstractions: learning rules from time series
Data Mining and Knowledge Discovery
Journal of Biomedical Informatics
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data
Artificial Intelligence in Medicine
Incremental application of knowledge to continuously arriving time-oriented data
Journal of Intelligent Information Systems
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Automatic generation of textual summaries from neonatal intensive care data
Artificial Intelligence
Automated trend detection with alternate temporal hypotheses
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
A framework for distributed mediation of temporal-abstraction queries to clinical databases
Artificial Intelligence in Medicine
Mining frequent arrangements of temporal intervals
Knowledge and Information Systems
Intelligent visualization and exploration of time-oriented data of multiple patients
Artificial Intelligence in Medicine
Temporal Information Systems in Medicine
Temporal Information Systems in Medicine
Intelligent selection and retrieval of multiple time-oriented records
Journal of Intelligent Information Systems
An epistemology for clinically significant trends
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Visualization of Time-Oriented Data
Visualization of Time-Oriented Data
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Journal of Intelligent Information Systems
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
Hi-index | 0.00 |
Monitoring, interpretation, and analysis of large amounts of time-stamped clinical data are tasks that are at the core of tasks such as the management of chronic patients using clinical guidelines, the retrospective assessment of the quality of that application, or the related task of clinical research by learning new knowledge from the accumulating data. I briefly describe several conceptual and computational architectures developed over the past 20 years, mostly by my research teams at Stanford and Ben Gurion universities, for knowledge-based performance of these tasks, and highlight the complex and interesting relationships amongst them. Examples of such architectures include the IDAN goal-directed temporal-mediation and the Momentum data-driven monitoring architectures, both of which are based on the knowledge-based temporal-abstraction method; the KNAVE-II and VISITORS knowledge-based interactive-exploration frameworks for single and multiple longitudinal records; and the KarmaLego interval-based temporal data mining methodology. I point out the progression from individual-subject data-interpretation, monitoring, and therapy, to multiple-patient aggregate analysis and research, and finally to the discovery and learning of new knowledge. This progression can be viewed as a positive-feedback loop, in which new knowledge is brought back to bear upon both individual-patient management and on the learning of new and meaningful (temporal) associations.