A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Diagnosis and Prognosis of the Arbovirus-Dengue using Intelligent Algorithm
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.
Diagnosis and Prognosis of the Arbovirus-Dengue using Intelligent Algorithm
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.
Diagnosis and Prognosis of the Arbovirus-Dengue using Intelligent Algorithm
J. Inst. Eng. India Ser. B
Jiji, G. Wiselin (author) / Lakshmi, V. Selva (author) / Lakshmi, K. Vathsala (author) / Priya, S. Shunmuga (author)
Journal of The Institution of Engineers (India): Series B ; 97 ; 115-120
2016-06-01
6 pages
Article (Journal)
Electronic Resource
English
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