alexa Quantum Computing Based Technique for Cancer Disease Detection System
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

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Research Article

Quantum Computing Based Technique for Cancer Disease Detection System

Milan Jain* and Setu Kumar Chaturvedi

Department of Computer Science and Engineering, Technocrats Institute of Technology, Bhopal, India

*Corresponding Author:
Milan Jain
Department of Computer Science and Engineering
Technocrats Institute of Technology, Bhopal, India
Tel: 9907027711
E-mail: [email protected]

Received Date: March 18, 2014; Accepted Date: April 20, 2014; Published Date: April 23, 2014

Citation: Jain M, Chaturvedi SK (2014) Quantum Computing Based Technique for Cancer Disease Detection System. J Comput Sci Syst Biol 7:095-102. doi: 10.4172/jcsb.1000143

Copyright: © 2014 Jain M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



In present scenario where various diseases are here and out of them the cancer is one of them most devastating disease. Presently the detection procedure is very much time consuming and the results obtain by them are not so fast, so here in this respect there is a need of more accurate, fast and efficient method through computing technologies. This research work incorporates Quantum computing with the clustering algorithm i.e. Shor Algorithm of Quantum Computing with various Hierarchical Clustering Technique. The Hierarchical Clustering Technique helps in clustering of results to obtain an approach for Cancer Disease Detection. Now accurate results are obtained, when adopting Shor Algorithm of quantum computing in disease detection technique with different Hierarchical Clustering. Here the Shor Algorithm helps to increase the efficiency in term of accuracy and Hierarchical Clustering Technique helps to detect the stages of Cancer. So, the proposed system gives a new approach in the field of cancer disease diagnosis. The results obtained by different Hierarchical Clustering Techniques are discussed.


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