1. Diagnosis and Prognosis of the Arbovirus-Dengue using Intelligent Algorithm
- Author
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S. Shunmuga Priya, G. Wiselin Jiji, V. Selva Lakshmi, and K. Vathsala Lakshmi
- Subjects
General Computer Science ,business.industry ,0206 medical engineering ,02 engineering and technology ,Disease ,Bioinformatics ,medicine.disease ,020601 biomedical engineering ,Viral infection ,Arbovirus ,Dengue fever ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,020201 artificial intelligence & image processing ,Artificial intelligence ,Electrical and Electronic Engineering ,Medical diagnosis ,business - Abstract
Dengue is the most common and widespread arthropod-borne viral infection in the world. It was carried by mosquitoes and this disease used to be called break-bone fever. Dengue is a quite dangerous febrile disease transmitted by aedus aegypti mosquito that can even cause death. In this paper, we proposed new fusion architecture to support the diagnosis of Arbovirus-Dengue. The architecture combines features of platelets and Case-Based Reasoning (CBR) technology together to facilitate medical diagnosis. Along with these features and platelet count, CBR is incorporated which contains symptoms of the disease and platelet count. Experiments on a set of 10 images yielded a balanced accuracy of 86.95 %. This was a superior diagnosis performance in comparison with the state-of-the-art works.
- Published
- 2014
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