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Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases
[chapter]
2003
Lecture Notes in Computer Science
Many clinical domains involve the collection of different types and substantial numbers of data over time. This is especially true when monitoring chronic patients. It is highly desirable to assist human users (e.g., clinicians, researchers), or decision support applications (e.g., diagnosis, therapy, quality assessment), who need to interpret large amounts of time-oriented data by providing a useful method for querying not only raw data, but also its abstractions. A temporal-abstraction
doi:10.1007/978-3-540-39907-0_3
fatcat:2u3zs4nmqnarrccbuwrryaehdu