Knowledge-based temporal abstraction for diabetic monitoring.

Y. Shahar, A. K. Das, S. W. Tu, F. B. Kraemer, M. A. Musen

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We have developed a general method that solves the task of creating abstract, interval-based concepts from time-stamped clinical data. We refer to this method as knowledge-based temporal-abstraction (KBTA). In this paper, we focus on the knowledge representation, acquisition, maintenance, reuse and sharing aspects of the KBTA method. We describe five problem-solving mechanisms that solve the five subtasks into which the KBTA method decomposes its task, and four types of knowledge necessary for instantiating these mechanisms in a particular domain. We present an example of instantiating the KBTA method in the clinical area of monitoring insulin-dependent-diabetes patients.

Original languageEnglish
Pages (from-to)697-701
Number of pages5
JournalProceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care
StatePublished - 1 Jan 1994
Externally publishedYes

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