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- W2934823218 abstract "Dengue fever is a virus spread by Aedes mosquitoes. The statistics from the Ministry of Health Malaysia shows that the dengue fever cases are still high in Malaysia even though the overall cases decrease in number compared to years before. In addition, dengue fever is often misunderstood with other fevers. Therefore, this project aims to provide an alternative way to address the misunderstanding by developing an expert system with the capability to diagnose dengue fever through a web application. This project uses a Rule-Based Expert System with both inference engines, forward and backward chaining with a combination of certainty factor in handling uncertainty data to determine whether the patients experience dengue fever or other fevers. Knowledge acquisition is carried out by obtaining data from literature reviews and an interview session with a doctor, who is an expert in diagnosing fever. The findings of this project show that the techniques of Rule-Based and Certainty Factor can produce reliable results to determine the types of fever with a degree of accuracy of 75% and provide a recommendation of proper treatment and preventive measures for the types of fever accordingly." @default.
- W2934823218 created "2019-04-11" @default.
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- W2934823218 date "2018-05-24" @default.
- W2934823218 modified "2023-09-23" @default.
- W2934823218 title "Retracted: Rule-based expert system with uncertainty for dengue fever diagnosis" @default.
- W2934823218 doi "https://doi.org/10.4314/jfas.v10i5s.30" @default.
- W2934823218 hasPublicationYear "2018" @default.
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