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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