FLORENCE: synthesis of case-based and model-based reasoning in a nursing care planning system

In this article, the data structures and reasoning methodologies of FLORENCE, an expert system that advises on the identification of nursing diagnoses in a new client, are described. FLORENCE is primarily a case-based reasoning system, but has an ancillary model-based reasoning system to advise on c...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computers in nursing 1993-01, Vol.11 (1), p.20-24
Hauptverfasser: Bradburn, C, Zeleznikow, J, Adams, A
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this article, the data structures and reasoning methodologies of FLORENCE, an expert system that advises on the identification of nursing diagnoses in a new client, are described. FLORENCE is primarily a case-based reasoning system, but has an ancillary model-based reasoning system to advise on complex problems. The use of multiple reasoning methods allows for better simulation of the reasoning process of the expert clinician.
ISSN:0736-8593