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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 10, 2017.
Abstract: This paper presents a systematic literature review on expert systems which are used for identification and overcoming of Dengue fever. Dengue is a viral disease produced by Flavivirus. The expansion of Dengue fever is because of uncontrolled population and urbanization without suitable water administration. With the quick technological enhancement, we can identify and overcome Dengue fever by using expert systems. These expert systems require knowledge of the relevant problem and techniques to infer the result in order to make decisions. The literature review provides a comparison of techniques, methodologies, limitations and advantages of different Dengue expert systems. These expert systems facilitate both doctors and patients in Dengue detection. Multiple risk factors can be eliminated by the detection of Dengue fever through expert systems at early stages of Dengue. Furthermore, we find that enhancement of knowledge base improves accuracy of expert systems.
Nadeem Ahmed, Muhammad Shoaib, Adeed Ishaq and Abdul Wahab, “Role of Expert Systems in Identification and Overcoming of Dengue Fever” International Journal of Advanced Computer Science and Applications(IJACSA), 8(10), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081011
@article{Ahmed2017,
title = {Role of Expert Systems in Identification and Overcoming of Dengue Fever},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081011},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081011},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {10},
author = {Nadeem Ahmed and Muhammad Shoaib and Adeed Ishaq and Abdul Wahab}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.