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...
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| Veröffentlicht in: | Computers in nursing 1993-01, Vol.11 (1), p.20-24 |
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| container_title | Computers in nursing |
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| creator | Bradburn, C Zeleznikow, J Adams, A |
| description | 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. |
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| fulltext | fulltext |
| identifier | ISSN: 0736-8593 |
| ispartof | Computers in nursing, 1993-01, Vol.11 (1), p.20-24 |
| issn | 0736-8593 |
| language | eng |
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| source | Journals@Ovid Ovid Autoload; MEDLINE |
| subjects | Decision Making, Computer-Assisted Expert Systems Humans Models, Nursing Nursing Nursing Diagnosis Patient Care Planning Software Validation |
| title | FLORENCE: synthesis of case-based and model-based reasoning in a nursing care planning system |
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