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https://www.ncbi.nlm.nih.gov/pubmed/20501347
It is widely pointed that the classical ontologies cannot sufficiently handle imprecise and vague knowledge for some real world applications, but fuzzy ontology can effectively resolve data and knowledge problems with uncertainty. This paper presents a novel fuzzy expert system for diabetes decision support application.Cited by: 224
https://ieeexplore.ieee.org/document/5471158/citations
May 24, 2010 · Finally, based on the FDO and the fuzzy ontology, the semantic fuzzy decision making mechanism simulates the semantic description of medical staff for diabetes-related application. Importantly, the proposed fuzzy expert system can work effectively for diabetes decision support application.Cited by: 224
https://www.researchgate.net/publication/224141217_A_Fuzzy_Expert_System_for_Diabetes_Decision_Support_Application
Chang S. L. and Mei H. W. (2011) [44] "A fuzzy expert system for diabetes decision support application" Fuzzy expert system Diabetes decision support The …
http://www.elearning.upnjatim.ac.id/courses/KECERDASANBUATAN/work/50afa90656fffA_Fuzzy_Expert_System_for_Diabetes_Decision_Support_Application.pdf
A Fuzzy Expert System for Diabetes Decision Support Application Chang-Shing Lee, Senior Member, IEEE, and Mei-Hui Wang Abstract—An increasing number of decision support systems based on domain knowledge are adopted to diagnose medical conditions such as diabetes and heart disease. It is widely pointed
https://www.longdom.org/open-access/a-decision-support-system-for-diabetes-mellitus-management-.pdf
A Decision Support System for Diabetes Mellitus Management ... Clinical decision support system (CDSS) for diabetes diagnosis improves its detection and decreases the opportunity ... For diabetes, the existing fuzzy CBR systems have not used fuzzy ontology or even crisp ontology asCited by: 8
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005471158
Finally, based on the FDO and the fuzzy ontology, the semantic fuzzy decision making mechanism simulates the semantic description of medical staff for diabetes-related application. Importantly, the proposed fuzzy expert system can work effectively for …Cited by: 224
https://www.researchgate.net/publication/328458371_Development_of_Fuzzy_Expert_System_for_Diagnosis_of_Diabetes
in fuzzy expert system for diagnosis of diabetes [19]. ... B. Development of fuzzy expert system . ... The proposed fuzzy expert system can work more effectively for diabetes application and also ...
http://www.ijana.in/papers/V3I2-12.pdf
fuzzy expert system for diabetes decision support application based on the fuzzy ontology with five layer fuzzy ontology. Ismail saritas et al.[9] developed a fuzzy expert system to determine drug dose in treatment of chronic interstine inflamation using the concept of fuzzification. Mehdi Fasanghari et al.[10] developed a fuzzy expert system for
https://www.ijcaonline.org/archives/volume182/number3/mujawar-2018-ijca-917482.pdf
expert system are merging of designing of expert system and web application together. Such developments can be considered as web engineering applications [4]. This research work proposes online expert system application (Web-FESSRADM) which uses fuzzy logic for drawing diabetes risk assessment. Proposed Fuzzy Expert System
http://www.hsj.gr/medicine/a-framework-for-personalized-decision-support-system-for-the-healthcare-application.php?aid=2736
Key words. Decision support system, iodine diet ontology, ontology, personalized healthcare, SWRL. Introduction. In medical science, decision making is a complex task as it depends on variety of interrelated functions. [] We are concentrating not only on the accuracy and prediction of the result, but also on the interoperability of the result from the physicians who use Decision …
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