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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(1): 117-121 ISSN:2301-3559
DOI: 10.7763/LNSE.2013.V1.26

Medical Diagnostics Using Cloud Computing with Fuzzy Logic and Uncertainty Factors in Mobile Devices

V. Aswin and S. Deepak

Abstract—Cloud computing features can be applied in medical domain to make it useful for the society and extending this particular idea to android based mobile devices will help users to get diagnostic results quickly via mobile devices. The paper deals with the sample diagnosis of diseases which can be proven useful by tracking down its symptoms via the mobile and analysis by fuzzification of the classic symptom levels. It leads to the chances of getting awareness about the disease control before complications. Every individual is supposed to have unique symptoms that are to be stored in cloud database by using Daas feature. Conglomeration of cloud computing in mobile devices and fuzzy logic with compositional rule of inference applied to symptoms by medical experts leads to the results that can be feasibly derived at user’s mobile itself. All the symptom datas that are to be stored are maintained as encrypted texts in order to provide security, which are executed according to the Encryption Standards.

Index Terms—Android os, cloud computing, fuzzy logic, security, symptoms.

The authors are with the IT, SSN College of Engineering, India. (e-mail: aswinwin7@gmail.com, dpk.s92@gmail.com).


Cite: V. Aswin and S. Deepak, "Medical Diagnostics Using Cloud Computing with Fuzzy Logic and Uncertainty Factors in Mobile Devices," Lecture Notes on Software Engineering  vol. 1, no. 1, pp. 117-121, 2013.

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