Notice: Users may be experiencing issues with displaying some pages on stanfordhealthcare.org. We are working closely with our technical teams to resolve the issue as quickly as possible. Thank you for your patience.
 

Learn about the flu shot, COVID-19 vaccine, and our masking policy »

Stanford Health Care

KNOWLEDGE-BASED TEMPORAL ABSTRACTION FOR DIABETIC MONITORING 18th Annual Symposium on Computer Applications in Medical Care - Transforming Information, Changing Health Care Shahar, Y., Das, A. K., Tu, S. W., Kraemer, F. B., Musen, M. A. BMJ PUBLISHING GROUP. 1994: 697–701

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.

View details for Web of Science ID A1994QF21600123

View details for PubMedID 7950015