Knowledge-based Temporal Abstraction in Clinical-management Tasks

Artificial Intelligence in Medicine: Interpreting Clinical Data

Volume

Papers from the 1994 AAAI Spring Symposium

Contents

We describe a general method for abstracting higherlevel, interval-based concepts from time-stamped clinical data, the knowledge-based temporal-abstraction [KBTA] method. We focus on the knowledge representation, knowledge acquisition and knowledge reuse and sharing aspects of the KBTA method. We describe five mechanisms which solve the five tasks composing the KBTA method, 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 domain of monitoring insulin-dependent diabetes patients.