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Machine Learning Clustering Method for Analysis of Blood Donor Deferral

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Shashikala B.M., Pushpalatha M.P., Vijaya B.

Shashikala B.M., Pushpalatha M.P. and Vijaya B.. Machine Learning Clustering Method for Analysis of Blood Donor Deferral. International Journal of Computer Applications 183(27):40-43, September 2021. BibTeX

	author = {Shashikala B.M. and Pushpalatha M.P. and Vijaya B.},
	title = {Machine Learning Clustering Method for Analysis of Blood Donor Deferral},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2021},
	volume = {183},
	number = {27},
	month = {Sep},
	year = {2021},
	issn = {0975-8887},
	pages = {40-43},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2021921659},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The objective of this paper is to classify the deferred donors based on the risk factors. This paper discusses the implementation of clustering technique with related to risk factors associated with the donors for becoming deferred donors. The data for this implementation is collected from local hospitals. The developed system is an unsupervised learning technique. The K- means clustering analysis work is utilized to arrange the blood contributor’s depending on the deferral reason. Elbow method used to identify the optimal number of clusters.


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Deferred donors, Risk factors, Clustering technique, Elbow method