Journal ArticleDOI
A Fuzzy Expert System for Diabetes Decision Support Application
Chang-Shing Lee,Mei-Hui Wang +1 more
- Vol. 41, Iss: 1, pp 139-153
TLDR
A novel fuzzy expert system can work effectively for diabetes decision support application and the semantic fuzzy decision making mechanism simulates the semantic description of medical staff for diabetes-related application.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 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. A five-layer fuzzy ontology, including a fuzzy knowledge layer, fuzzy group relation layer, fuzzy group domain layer, fuzzy personal relation layer, and fuzzy personal domain layer, is developed in the fuzzy expert system to describe knowledge with uncertainty. By applying the novel fuzzy ontology to the diabetes domain, the structure of the fuzzy diabetes ontology (FDO) is defined to model the diabetes knowledge. Additionally, a semantic decision support agent (SDSA), including a knowledge construction mechanism, fuzzy ontology generating mechanism, and semantic fuzzy decision making mechanism, is also developed. The knowledge construction mechanism constructs the fuzzy concepts and relations based on the structure of the FDO. The instances of the FDO are generated by the fuzzy ontology generating mechanism. 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.read more
Citations
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Standards of Medical Care in Diabetes
TL;DR: These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care.
Journal ArticleDOI
XGBoost Model for Chronic Kidney Disease Diagnosis
Adeola Ogunleye,Qing-Guo Wang +1 more
TL;DR: The set-theory based rule is presented which combines a few feature selection methods with their collective strengths and the reduced model using about a half of the original full features performs better than the models based on individual feature selection method and achieves accuracy, sensitivity, and specificity.
Journal ArticleDOI
Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?
TL;DR: A general overview of AI and how it can be used to improve health outcomes in resource-poor settings is provided and some of the current ethical debates around patient safety and privacy are described.
Journal ArticleDOI
Implementation of Machine Learning Model to Predict Heart Failure Disease
TL;DR: The results and comparative study showed that, the current work improved the previous accuracy score in predicting heart disease, and the integration of the machine learning model presented in this study with medical information systems would be useful to predict the HF or any other disease using the live data collected from patients.
Journal ArticleDOI
IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework
TL;DR: An ensemble framework with multi-layer classification using enhanced bagging and optimized weighting is presented and it is shown that ensemble framework achieved the highest accuracy, accuracy and F-Measure when compared with individual classifiers for all the diseases.
References
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Standards of Medical Care in Diabetes
TL;DR: These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care.
Journal ArticleDOI
Standards of medical care in diabetes.
TL;DR: I would like to take issue with the use of the phrase “standards of medical care in diabetes,” which is used to describe diabetes care standards, in the recently updated and circulatedADA 2006 Clinical Practice Recommendations.
Journal ArticleDOI
Standards of Medical Care in Diabetes: Response to Power
TL;DR: The title “Standards of Medical Care in Diabetes” was chosen because in the view of the American Diabetes Association (ADA), the recommendations represent what the association considers the “standards” for the care of patients with diabetes.
Journal ArticleDOI
A fuzzy ontology and its application to news summarization
TL;DR: The experimental results show that the news agent based on the fuzzy ontology can effectively operate for news summarization and an experimental website is constructed to test the approach.
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