Temporal granularity for unanchored temporal data
Proceedings of the seventh international conference on Information and knowledge management
Temporal Granularity: Completing the Puzzle
Journal of Intelligent Information Systems
Visualizing Temporal Clinical Data on the WWW
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Temporal Databases with Null Values
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
The VLDB Journal — The International Journal on Very Large Data Bases
Temporal reasoning for decision support in medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Intelligent visualization and exploration of time-oriented data of multiple patients
Artificial Intelligence in Medicine
Intelligent selection and retrieval of multiple time-oriented records
Journal of Intelligent Information Systems
Visually defining and querying consistent multi-granular clinical temporal abstractions
Artificial Intelligence in Medicine
Querying temporal clinical databases on granular trends
Journal of Biomedical Informatics
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The need to manage temporal information given at different levels of granularity or with indeterminacy is common to many application areas. Among them, we focus on clinical data management. Different time granularities and indeterminacy are also needed in querying temporal databases. In this paper, we describe GCH-OSQL (Granular Clinical History-Object Structured Query Language), an object-oriented/temporally-oriented extension of SQL. GCH-OSQL is based on an object-oriented temporal data model, GCH-OODM. GCH-OODM allows storage of clinical information at different and mixed granularities or with temporal indeterminacy. GCH-OSQL deals with the valid time of clinical information. The temporal extension of the SELECT construct includes the addition of the TIME-SLICE and MOVING WINDOW clauses, and the capability to reference the temporal dimension of objects in the WHERE and SELECT clauses. Using object-oriented technologies, a system prototype for GCH-OSQL and GCH-OODM has been implemented and applied to data management of follow-up patients after coronary angioplasty intervention.