Research Article
Software Reuse in Medical Database for Cardiac Patients using Pearson Family Equations
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 58 - Issue 14 |
| Published: November 2012 |
| Authors: M. Bhanu Sridhar, Y. Srinivas, M. H. M. Krishna Prasad |
10.5120/9349-3675
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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 },
year = { 2012 },
volume = { 58 },
number = { 14 },
pages = { 12-19 },
doi = { 10.5120/9349-3675 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%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%T
%J International Journal of Computer Applications
%V 58
%N 14
%P 12-19
%R 10.5120/9349-3675
%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
- Peter Naur and Brian Randell, Software Engineering, Report on a conference sponsored by the NATO SCIENCE COMMITTEE Garmisch, Germany, 7th to 11th October 1968.
- Charles W. Krueger, Software Reuse, ACM 0360-0300/92/0600-0131, Volume 24, No. 2, June 1992.
- Press release by Delta Heart Centre, Ludhiana, http://www. heartcheck. in/today. html
- Bhanu Sridhar et al, Software Reuse in Cardiology Related Medical Database Using K-Means Clustering Technique, Journal of Software Engineering and Applications, 2012, Vol. 5, No. 9, 682-686.
- Anne Morgan Spalter, Andries van Dam, Problems with using components in educational software, Computers & Graphics 27 (2003) 329-337, PERGAMON, Elsevier Science Ltd.
- Disease datasets from Machine Learning Repository, http://archive. ics. uci. edu/ml/datasets
- Quoted from: http://en. wikipedia. org/wiki/Pearson_distribution
- Abhinav Gupta and Karmeshu, Statistical Characterization of Speckle in Clinical Echocardiographic Images with Pearson Family of Distributions, Defence Science Journal, Vol. 61, No. 5, September 2011, pp. 473-478.
- Shantakumar Patil and YS. Kumaraswamy, Intelligent and Effective Heart Attack Prediction System Using Data Mining and Artificial Neural Network, European Journal of Scientific Research, Vol. 31, no. 4, 2009.
- Robert Godin, Guy Mineau et al. (1995a), Applying Concept Formation Methods to Software Reuse, International Journal of Software Engineering and Knowledge Engineering, 5(1), 119-142.
- G. Gui and P. D. Scott, Coupling and Cohesion Measures for Evaluation on Component Reusability, MSR '06, May 2006, Shanghai, China.
- Johann Eder et al, Coupling and Cohesion in Object-Oriented Systems, Technical Report, Univ. of Klagenfurt, 1994. Also available at ftp://ftp. ifs. uni-linz. ac. at/pub/publications/1993/0293. ps. gz.
- Shyam Chidamber and Chris Kemerer, A Metrics Suite for Object Oriented Design, IEEE Transactions on Software Engineering, Vol. 20, No. 6, June 1994.
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