Soft Computing on Medical-Data (SCOM) for a Countrywide Medical System Using Data Mining and Cloud Computing Features

Samayita Bhattacharya

Soft Computing on Medical-Data (SCOM) for a Countrywide Medical System Using Data Mining and Cloud Computing Features

Samayita Bhattacharya * § M Tech, Pursuing PhD

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§ University of Kalyani

Soft Computing on Medical-Data (SCOM) for a Countrywide Medical System Using Data Mining and Cloud Computing Features

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Abstract

This paper focuses on hosting and analyzing medical diagnostic data using soft computing. This is a project proposal for medical database system using soft computing, using data mining and cloud computing features. Data mining features are added to gain more control over the system. Cloud computing is a general term for anything that involves delivering hosted services over the Internet. The proposed database system can provide new delivery models to make healthcare more efficient and effective, and at a lower cost to technology budgets.

References

5 Cites in Article

Reference Format

(2015). TOWARDS A MODEL-DEFINED CLOU-OF-CLOUDS.
What is Cloud Computing.
Cloud Computing.
(2008). National Library of Medicine (NLM).
(2005). Would Your Medical Records Hold Up Under Scrutiny?.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Samayita Bhattacharya. 2013. "Soft Computing on Medical-Data (SCOM) for a Countrywide Medical System Using Data Mining and Cloud Computing Features". Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 13 (GJCST Volume 13 Issue B3).

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GJCST Volume 13 Issue B3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Cloud Computing Data mining Database medical data soft computing

Classification

GJCST-B Classification H.2.8

Submission ReceivedApril 7, 2013
Peer Review Double Blind
Handling Editor
Accepted May 2, 2013
Published May 15, 2013

Version of record

v1.2

Issue date

August 2, 2013

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Kalyani Mali, Samayita Bhattacharya (PhD/Dr. count: 0)

View Count (all-time): 459

Total Views (Real + Logic): 3903

Total Downloads (simulated): 337

Publish Date: 2013 05, Wed

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Total Views: 3.9K

Total Downloads: 337

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