Knowledge-based temporal abstraction in diabetes therapy.

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

Research output: Contribution to journalArticlepeer-review


We suggest a general framework for solving the task of creating abstract, interval-based concepts from time-stamped clinical data. We refer to this problem-solving framework as the knowledge-based temporal-abstraction (KBTA) method. The KBTA method emphasizes explicit representation, acquisition, maintenance, reuse, and the sharing of knowledge required for abstraction of time-oriented clinical data. We describe the subtasks into which the KBTA method decomposes its task, the problem-solving mechanisms that solve these subtasks, and the knowledge necessary for instantiating these mechanisms in a particular clinical domain. We have implemented the KBTA method in the RESUME system and have applied it to the task of monitoring the care of insulin-dependent diabetics.

Original languageEnglish
Pages (from-to)852-856
Number of pages5
JournalMedinfo. MEDINFO
Volume8 Pt 1
StatePublished - 1 Jan 1995
Externally publishedYes

ASJC Scopus subject areas

  • Medicine (all)


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