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Software Reuse in Medical Database for Cardiac Patients using Pearson Family Equations

by M. Bhanu Sridhar, Y. Srinivas, M. H. M. Krishna Prasad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 14
Year of Publication: 2012
Authors: M. Bhanu Sridhar, Y. Srinivas, M. H. M. Krishna Prasad
10.5120/9349-3675

M. Bhanu Sridhar, Y. Srinivas, M. H. M. Krishna Prasad . Software Reuse in Medical Database for Cardiac Patients using Pearson Family Equations. International Journal of Computer Applications. 58, 14 ( November 2012), 12-19. DOI=10.5120/9349-3675

@article{ 10.5120/9349-3675,
author = { M. Bhanu Sridhar, Y. Srinivas, M. H. M. Krishna Prasad },
title = { Software Reuse in Medical Database for Cardiac Patients using Pearson Family Equations },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 14 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number14/9349-3675/ },
doi = { 10.5120/9349-3675 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:02:29.732612+05:30
%A M. Bhanu Sridhar
%A Y. Srinivas
%A M. H. M. Krishna Prasad
%T Software Reuse in Medical Database for Cardiac Patients using Pearson Family Equations
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 14
%P 12-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reuse is a subfield of software engineering that is used to adopt the existing software for similar purposes. Reuse Metrics determine the extent to which an existing software component is reused in new software with an objective to minimize the errors and cost of the new project. In this paper, medical database related to cardiology is considered. The Pearson Type-I Distribution is used to calculate the probability density function (pdf) and thereby utilizing it for clustering the data. Further, coupling methodology is used to bring out the similarity of the new patient data by comparing it with the existing data. By this, the concerned treatment to be followed for the new patient is deduced by comparing with that of the previous patients' case history. The metrics proposed by Chidamber and Kemerer are utilized for this purpose. This model will be useful for the medical field through software, particularly in remote areas.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Reuse Metrics Coupling Pearson Distribution Cardiology

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