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 breakbone 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.