Relative Cloud Computing and its Algebraic Application in e-Diagnosis Algorithm

Abstract

The theory of cloud computing is applied to develop an e-diagnosis system in this paper. The set of real numbers and the set of patients characterized by the diseases are studied by the isomorphism. This is analyzed by the block matrix. The mapping is defined by the discrete time set. The output time is classified by the cloud space. The patient information and its representation by the block matrix over the cloud space established a new cloud set. The element of this set and its isomorphic correspondence with the time set generates the new e-diagnosis system.

Keywords: Cloud Computing, E-Diagnosis System, Isomorphism, Block Matrix, Set.

Cite this Article: Sunil Kumar Kashyap, Manju Kushwaha. Relative Cloud Computing and its Algebraic Application in e-Diagnosis Algorithm. Journal of Advanced Database Management & Systems. 2020; 7(2): 15–18p.