Title :
Dengue notification system using fuzzy logic
Author :
Bin Razak, Tajul Rosli ; Wahab, Rosmawati Abd ; Ramli, M.H.
Author_Institution :
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Arau, Malaysia
Abstract :
Dengue fever is a disease which is hard to identify, it is only detectable when the patient is at the critically ill. This study uses a fuzzy logic approach for the patient to get further notification if they are suspected with dengue fever. The study will suggest the patient whether to go or not to go to the hospital for further diagnosis. A doctor working in the vector unit was selected to be interviewed as a domain expert for this project as to obtain data about the dengue disease. Fuzzy logic will take part as an inference engine in this study that is applied to the rules of a knowledge base within a fuzzy or a crisp rule-based to determine whether the patient is suspected with dengue fever or not. The results and findings from the study had shown that the technique of fuzzy logic can contribute a reliable result in order to notify the disease. Human subject has been used to test the system. This is considered to be quite satisfied as well as reliable system. The system can be applied at the UiTM medical unit. It is user friendly and most important can be used by users to get self notified without any assistant.
Keywords :
diseases; fuzzy logic; inference mechanisms; knowledge based systems; medical computing; patient diagnosis; UiTM medical unit; dengue disease; dengue fever; dengue notification system; domain expert; fuzzy logic; inference engine; knowledge base; patient diagnosis; Diseases; Fuzzy logic; Knowledge based systems; Medical diagnostic imaging; Pragmatics; Vectors; Dengue Fever; Fuzzy Logic; Notification System;
Conference_Titel :
Computer, Control, Informatics and Its Applications (IC3INA), 2013 International Conference on
Conference_Location :
Jakarta
DOI :
10.1109/IC3INA.2013.6819179