blood donation app ieee paper

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.

Introduction

It is essential for healthcare systems to have a constant balance of supply and demand for blood products. These play a critical role in the saving and the extension of life. Dashboards are of critical importance to help achieve these objectives. There are two critical aspects of these dashboards that will be covered in this paper. Firstly the ability to have realtime data that identifies the donor profiles based on their patterns of donorship. Secondly rolling up the profile to demographic level both summary and detail level. In specific the linkage to geo-location will be demonstrated. This paper dwells into the effective dashboard creation using data mining techniques coupled with geo-locational linkage. The objective of this research is to effectively translate data mining derived models to enable decision making with the help of dashboards.