Real-Time Blood Donor Management Using Dashboards Based on Data Mining Models

Abstract

This study uses data mining modeling techniques to examine the blood donor classification and extending this to facilitate the development of realtime blood donor management using dashboards with blood profile and geo-location data. This enables decision makers the ability to manage and plan the blood donation activities based on key metrics. This capability provides the ability to plan effective targeted blood donation campaigns. The scoring algorithm implemented for the dashboard also helps in the optimized deployment of budget resources and budget allocation determination for blood donation campaigns.

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