Knowledge-Based Temporal Abstraction in Diabetes Therapy

Reference: Shahar, Y.; Das, A. K.; Tu, S. W.; Kraemer, F. B.; Basso, L. V.; & Musen, M. A. Knowledge-Based Temporal Abstraction in Diabetes Therapy. Knowledge Systems Laboratory, Medical Computer Science, July, 1994.

Abstract: 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 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.

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