| Abstract
|
The referral pattern of clinicians who mon … The referral pattern of clinicians who monitor children's growthleads to an inefficient use of resources. Many healthy children are referred toa pediatric endocrinologist, whereas pathologically short or tall children areoften referred too late. Methods exist that could improve this referralpattern. However, these methods have proved to be too cumbersome to use indaily practice since they require many calculations that have to be done byhand. In addition, many clinicians do not have the skills to interpret thetemporal information upon which they have to base the decision to refer achild.This paper presents a decision-support system that applies temporal-reasoningtechniques to the task of monitoring children's growth. It shows how anextensive task analysis determined the architecture of the system, and also showthe potential and flexibility of a modular approach to the design of a systemthat solves a real-world problem. a systemthat solves a real-world problem.
|
| Author
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Manon M. Kuilboer +
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| Bibtype
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techreport +
|
| Institution
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Knowledge Systems, AI Laboratory +
|
| Key
|
KSL-94-56 +
|
| Modification dateThis property is a special property in this wiki.
|
1 May 2009 13:38:52 +
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| Month
|
July +
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| Note
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Medical Computer Science +
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| Number
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KSL-94-56 +
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| Tag
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Computer science +
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| Title
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CALIPER: Temporal Reasoning for the Monitoring of Children's Growth +
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| Tr id
|
KSL-94-56 +
|
| Year
|
1994 +
|
| Categories |
Technical Report,
Publication,
KSL Technical Report
|
