Software Reuse in Cardiology Related Medical Database Using K-Means Clustering Technique

M. Bhanu Sridhar, Y. Srinivas, M. H. M. Krishna Prasad

Department of Computer Science and Engineering, Raghu Engineering College, Visakhapatnam, India.
Department of Information Technology, GITAM University, Visakhapatnam, India.
Department of Information Technology, Jawaharlal Nehru Technological University, Kakinada, India.

DOI: 10.4236/jsea.2012.59081                

Abstract

Software technology based on reuse is identified as a process of designing software for the reuse purpose. The software reuse is a process in which the existing software is used to build new software. A metric is a quantitative indicator of an attribute of an item/thing. Reusability is the likelihood for a segment of source code that can be used again to add new functionalities with slight or no modification. A lot of research has been projected using reusability in reducing code, domain, requirements, design etc., but very little work is reported using software reuse in medical domain. An attempt is made to bridge the gap in this direction, using the concepts of clustering and classifying the data based on the distance measures. In this paper cardiologic database is considered for study. The developed model will be useful for Doctors or Para-medics to find out the patient’s level in the cardiologic disease, deduce the medicines required in seconds and propose them to the patient. In order to measure the reusability K-means clustering algorithm is used.

Keywords

Reuse; Cardiology; Software Metrics; Clustering, K-Means; Cardiac

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Heart Attack Dataset, 2012. http://archive.ics.uci.edu/ml/datasets/Heart+Disease
[2]	A. M. Spalter and A. van Dam, “Problems with Using Components in Educational Software,” Computers & Graphics, Vol. 27, No. 3, 2003, pp. 329-337. doi:10.1016/S0097-8493(03)00027-X
[3]	Press Release by Delta Heart Centre, Ludhiana, 2012. http://www.heartcheck.in/today.html
[4]	http://en.wikipedia.org/wiki/Heart
[5]	Interview with Dr. V. Rama Narasimham, Senior Cardiology Specialist, Visakhapatnam. http://www.ask4healthcare.com/healthcaresolutions/DoctorDetail.aspx?Doc_id=DRMCI0023690
[6]	http://diabetesinformationhub.com/DiabetesandInsulin_DiabetesandBloodSugarLevels.php
[7]	R. Gibbons, G. Balady, J. T. Bricker, B. Chaitman, G. Fletcher, V. Froelicher, D. Mark, B. McCallister, et al., “ACA/AHA Guideline Update for Exercise testing: A Summary Article,” Journal of the American College of Cardiology, Vol. 40, No. 8, 2002, pp. 1531-1540. doi:10.1016/S0735-1097(02)02164-2
[8]	B. Delibasic, K. Kirchner, et al., “Reusable Components for Partitioning Clustering Algorithms,” Artificial Intelligence Review, Vol. 32, No. 1-4, 2009, pp. 59-75. doi:10.1007/s10462-009-9133-6
[9]	C. Ordonez, “Clustering Binary Data Streams with K-Means,” DMKD’03, San Diego, 2003.
[10]	G. Casella and R. L. Berger, “Statistical Inference,” 2nd Edition, Duxbury Press, Duxbury, 2001.
[11]	R. Godin, G. Mineau, et al., “Applying Concept Formation Methods to Software Reuse,” International Journal of Software Engineering and Knowledge Engineering, Vol. 5, No. 1, 1995, pp. 119-142. doi:10.1142/S0218194095000071