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Methods Inf Med 1986; 25(02): 71-78
DOI: 10.1055/s-0038-1636679
Original Article
Schattauer GmbH

Building an Expert Critiquing System: ESSENTIAL-ATTENDING

Aufbau eines auf Erfahrung beruhenden Beurteilungssystems: ESSENTIAL-ATTENDING
P. L. Miller
1   (From the Department of Anesthesiology, Yale University School of Medicine, New Haven)
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Further Information

Publication History

Publication Date:
20 February 2018 (online)

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Summary

This paper describes a “system-building system”, ESSENTIAL-ATTENDING (E-ATTEND-ING), designed to assist in the implementation of expert systems which critique a physician’s plan for patient care. E-ATTENDING has been refined during the implementation of several developmental critiquing systems and may be applied in areas of medical management, patient workup, and differential diagnosis. E-ATTENDING is currently designed to help implement a class of critiquing systems in a subset of possible critiquing domains. It can also be augmented in various ways by interested users to accommodate critiquing domains with more complexity.

In dieser Arbeit wird ein »systemaufbauendes System«, ESSENTIAL ATTENDING (E-ATTENDING), beschrieben. Es ist dazu bestimmt, bei der Implementierung von Experten-Systemen, die zur Beurteilung eines ärztlichen Plans zur Patientenversorgung dienen, zu helfen. Im Zuge des Aufbaus verschiedener in der Entwicklung befindlicher Beurteilungssysteme wurde E-ATTENDING vervollkommnet und kann auf den Gebieten der medizinischen Taktik und der Differentialdiagnose angewendet werden. Zur Zeit ist E-ATTENDING darauf ausgerichtet, eine Gruppe von Beurteilungssystemen auf einem Teilsektor möglicher Beurteilungsgebiete aufzubauen. Es kann auch durch interessierte Benutzer auf verschiedene Weise erweitert werden, um komplizierten Beurteilungsgebieten gerecht zu werden.

Key-Words:

Artificial Intelligence in Medicine - Computer-assisted Medical Decision-making - Expert Systems - Knowledge Engineering

Schlüssel-Wörter:

Künstliche Intelligenz in der Medizin - computerunterstützte ärztliche Diagnosestellung - Expertensysteme - Wissenstechnik
 

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