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Alan Eka Prayoga
Sarif Surorejo
Rifki Dwi Kurniawan
Gunawan Gunawan


The application of the Fuzzy Expert System method in the early detection of dengue fever offers a promising approach to improve diagnostic accuracy. This study aims to develop a system that can overcome the diversity of dengue fever symptoms and uncertainty in the diagnosis process. Using medical record data of patients who have confirmed DHF, the study designed fuzzy rules for symptom evaluation, resulting in more precise diagnostic outputs. The results indicate the system's success in identifying dengue cases with high sensitivity and good positive predictive value. These findings confirm the importance of FES technology in clinical practice, especially for controlling and preventing dengue fever in endemic areas. Continued research will test this system in a broader clinical scenario to ensure its effectiveness and practicality in diverse medical environments.


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Prayoga, A. E. ., Surorejo, S. ., Kurniawan, R. D. ., & Gunawan, G. (2024). Application of fuzzy expert system method for early detection of dengue fever. Journal of Intelligent Decision Support System (IDSS), 7(1), 35-41.
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