Expert System to Diagnose Dengue Fever

Authors

  • Mohd Zulhilmi Aqil Muhamad Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
  • Noor Hafhizah Abd Rahim Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia

DOI:

https://doi.org/10.46754/umtjur.v1i4.93

Keywords:

dengue fever, PROLOG, symptoms, expert system

Abstract

Expert system is a system that emulates experts to aid in decision making. This system can be applied in various categories such as diagnosis, prediction, interpretation, and others.  Expert System to Diagnose Dengue Fever is a web-based system which is integrated with prolog language in order to provide rules for dengue fever detection.  The aims of this research are to study dengue fever symptoms and other illnesses related to the fever, to design an inference engine, and to build an expert system.  The challenges faced while developing this expert system were the complexity of prolog codes and their integration with the web development.  In this system, rules were developed by prolog language which define dengue fever and accuracy based on input from the user.  This system is expected to aid users in self-detecting early symptoms of dengue fever before seeing the doctors.

References

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Additional Files

Published

2019-10-31

How to Cite

Mohd Zulhilmi Aqil Muhamad, & Noor Hafhizah Abd Rahim. (2019). Expert System to Diagnose Dengue Fever. Universiti Malaysia Terengganu Journal of Undergraduate Research, 1(4), 67–76. https://doi.org/10.46754/umtjur.v1i4.93