CALIPER: Temporal Reasoning for the Monitoring of Children's Growth

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Citation: Manon M. Kuilboer. (1994) CALIPER: Temporal Reasoning for the Monitoring of Children's Growth. In KSL-94-56, July,1994.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Manon M. Kuilboer
title CALIPER: Temporal Reasoning for the Monitoring of Children's Growth
number KSL-94-56
institution Knowledge Systems, AI Laboratory
year 1994
month July
Bibtex more
note Medical Computer Science
Access Paper
abstract The referral pattern of clinicians who monitor children's growth leads to an inefficient use of resources. Many healthy children are referred to a pediatric endocrinologist, whereas pathologically short or tall children are often referred too late. Methods exist that could improve this referral pattern. However, these methods have proved to be too cumbersome to use in daily practice since they require many calculations that have to be done by hand. In addition, many clinicians do not have the skills to interpret the temporal information upon which they have to base the decision to refer a child.This paper presents a decision-support system that applies temporal-reasoning techniques to the task of monitoring children's growth. It shows how an extensive task analysis determined the architecture of the system, and also show the potential and flexibility of a modular approach to the design of a system that solves a real-world problem.

KSL Technical Report ID: KSL-94-56
Facts about CALIPER: Temporal Reasoning for the Monitoring of Children's GrowthRDF feed
Abstract The referral pattern of clinicians who mon … The referral pattern of clinicians who monitor children's growth leads to an inefficient use of resources. Many healthy children are referred to a pediatric endocrinologist, whereas pathologically short or tall children are often referred too late. Methods exist that could improve this referral pattern. However, these methods have proved to be too cumbersome to use in daily practice since they require many calculations that have to be done by hand. In addition, many clinicians do not have the skills to interpret the temporal information upon which they have to base the decision to refer a child.This paper presents a decision-support system that applies temporal-reasoning techniques to the task of monitoring children's growth. It shows how an extensive task analysis determined the architecture of the system, and also show the potential and flexibility of a modular approach to the design of a system that solves a real-world problem. a system that solves a real-world problem.
Author Manon M. Kuilboer  +
Bibtype techreport  +
Has author Manon M. Kuilboer  +
Has identifier KSL-94-56  +
Has publishing details July,1994  +
Has title CALIPER: Temporal Reasoning for the Monitoring of Children's Growth  +
Has where published KSL-94-56  +
Has year 1994  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-94-56  +
Month July  +
Note Medical Computer Science
Number KSL-94-56  +
Process note NO  +
Title CALIPER: Temporal Reasoning for the Monitoring of Children's Growth  +
Year 1994  +
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