Chronic kidney disease diagnosis using Fuzzy Knowledge Graph Pairs : based inference in the extreme case

• Autorzy: Chuan Pham Minh , Long Cu Kim , Lan Luong Thi Hong , Tuan Tran Manh , Hai Pham Van , Tan Nguyen Hong , Son Le Hoang

Identyfikatory

DOI

10.15439/2022R35

• Języki publikacji: EN

Abstrakty

EN

Chronic kidney disease is one of the diseases with high morbidity and mortality, commonly occurring in the general adult population, especially in people with diabetes and hypertension. Scientists have researched and developed intelligent medical systems to diagnose chronic kidney disease. Nevertheless, healthcare services remain low in resource-limited areas, and general practitioners are very short of clinical experience. Identifying chronic kidney disease in clinical practice remains challenging, especially for the general practitioner. This study proposes a model to develop a model for improving the efficiency of differential diagnosis. This paper presents a model consisting of a fuzzy knowledge graph pairs-based inference mechanism by accumulating the new rules to enrich the fuzzy rule base. A real-world dataset is gathered in Dien Bien hospital to evaluate the performance of our proposed model.

Słowa kluczowe

EN

fuzzy knowledge graph; fuzzy inference system; chronic kidney disease; health sector

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 33
• Strony: 83--88
• Opis fizyczny: Bibliogr. 21 poz., wykr., tab.

Twórcy

autor

Chuan Pham Minh

• Faculty of Information Technology Hung Yen University of technology and education HungYen, Vietnam

autor

Long Cu Kim

• School of Information Communication Technology, Hanoi University of Science and Technology (HUST), Hanoi, Vietnam; Information Technology Center, Ministry of Science and Technology (MOST), Hanoi, Vietnam

autor

Lan Luong Thi Hong

• Faculty of Computer Science and Engineering Thuyloi University Hanoi, Vietnam

autor

Tuan Tran Manh

• Faculty of Computer Science and Engineering Thuyloi University Hanoi, Vietnam

autor

Hai Pham Van

• School of Information Communication Technology Hanoi University of Science and Technology Hanoi, Vietnam

autor

Tan Nguyen Hong

• Faculty of Information Technology Information Technology and Communication University Thainguyen, Vietnam

autor

Son Le Hoang

• VNU Information Technology Institute Vietnam National University Hanoi, Vietnam

Bibliografia

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