A Nursing Expert System Aided by Fuzzy Logic for Preventing Pressure Ulcer Development in Surgical Patients

This paper describes a nursing fuzzy expert system for preventing pressure ulcer development in post-operative patients. First, knowledge of expert nurse for pressure ulcer development is derived. Second, a fuzzy expert system is constructed by a simple calculation of fuzzy membership functions expr...

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Bibliographic Details
Published inJournal of Japan Society for Fuzzy Theory and Intelligent Informatics Vol. 20; no. 6; pp. 963 - 971
Main Authors KONISHI, Miwako, HATA, Yutaka
Format Journal Article
LanguageJapanese
Published Japan Society for Fuzzy Theory and Intelligent Informatics 15.12.2008
Subjects
nursing fuzzy expert system
operating nursing
preventing pressure ulcer
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Summary:This paper describes a nursing fuzzy expert system for preventing pressure ulcer development in post-operative patients. First, knowledge of expert nurse for pressure ulcer development is derived. Second, a fuzzy expert system is constructed by a simple calculation of fuzzy membership functions expressing the knowledge. The expert system produces a fuzzy degree by averaging the calculated values obtained by these membership functions. This system performance is evaluated by leave-one-out cross validation on 10 patients. Then, the nursing fuzzy expert system can determine the pressure ulcer development with better precision, compared with the past work with statistical analysis on 360 patients.
ISSN:1347-7986
1881-7203
DOI:10.3156/jsoft.20.963