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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 |
| Volume 183 - Number 27 |
| Year of Publication: 2021 |
| Authors: Shashikala B.M., Pushpalatha M.P., Vijaya B. |
10.5120/ijca2021921659
|
Shashikala B.M., Pushpalatha M.P., Vijaya B. . Machine Learning Clustering Method for Analysis of Blood Donor Deferral. International Journal of Computer Applications. 183, 27 ( Sep 2021), 40-43. DOI=10.5120/ijca2021921659
Abstract
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.
References
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