title: FLORENCE: synthesis of case-based and model-based reasoning in a nursing care planning system.
abstract: 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.
authors.affiliation: Department of Mathematics and Computing, Phillip Institute of Technology, Bundoora, Victoria, Australia.
authors.forename: C
authors.initials: C
authors.lastname: Bradburn
authors.forename: J
authors.initials: J
authors.lastname: Zeleznikow
authors.forename: A
authors.initials: A
authors.lastname: Adams
mesh_terms: D003658:Decision Making, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D016294:Models, Nursing; D009733:Nursing Diagnosis; D010347:Patient Care Planning; D012986:Software Validation