Rationale for the Arden Syntax
Computers and Biomedical Research
A knowledge-based method for temporal abstraction of clinical data
A knowledge-based method for temporal abstraction of clinical data
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Advanced database systems
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Dynamic temporal interpretation contexts for temporal abstraction
Annals of Mathematics and Artificial Intelligence
The Conceptual Basis for Mediation Services
IEEE Expert: Intelligent Systems and Their Applications
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
A Task-Specific Ontology for the Application and Critiquing of Time-Oriented Clinical Guidelines
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
DataBlade Extensions for INFORMIX-Universal Server
COMPCON '97 Proceedings of the 42nd IEEE International Computer Conference
Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Temporal reasoning for decision support in medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Extending temporal databases to deal with telic/atelic medical data
Artificial Intelligence in Medicine
Journal of Intelligent Information Systems
A framework for distributed mediation of temporal-abstraction queries to clinical databases
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Using temporal constraints for temporal abstraction
Journal of Intelligent Information Systems
Extending temporal databases to deal with telic/atelic medical data
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Querying temporal clinical databases on granular trends
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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The ability to reason with time-oriented data is centralto the practice of medicine. Monitoring clinical variables over timeoften provides information that drives medical decision making (e.g.,clinical diagnosis and therapy planning). Because the time-orientedpatient data are often stored in electronic databases, it isimportant to ensure that clinicians and medical decision-supportapplications can conveniently find answers to their clinical queriesusing these databases. To help clinicians and decision-supportapplications make medical decisions using time-oriented data, adatabase-management system should (1) permit the expression ofabstract, time-oriented queries, (2) permit the retrieval of datathat satisfy a given set of time-oriented data-selection criteria,and (3) present the retrieved data at the appropriate level ofabstraction. We impose these criteria to facilitate the expression ofclinical queries and to reduce the manual data processing that usersmust undertake to decipher the answers to their queries. We describea system, Tzolkin, that integrates a general method for temporal-datamaintenance with a general method for temporal reasoning to meetthese criteria. Tzolkin allows clinicians to use SQL-like temporalqueries to retrieve both raw, time-oriented data and dynamicallygenerated summaries of those data. Tzolkin can be used as astandalone system or as a module that serves other software systems.We implement Tzolkin with a temporal-database mediator approach. Thisapproach is general, facilitates software reuse, and thus decreasesthe cost of building new software systems that require thisfunctionality.