Forecasting Blood Donor Response Using Predictive Modelling ApproachJournal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 4)
Publication Date: 2019-04-30
Authors : Chinmay Marade; Aalekh Pradeep; Dipak Mohanty; Chetan Patil;
Page : 73-77
Keywords : Predictive Modelling; Data Mining; Regression;
Blood and blood products are extremely essential for the medical treatment of almost all age groups. The primary supply of blood products within the world is mainly from volunteer donors. Thus, donor accomplishment and donor retention are critical factors for a blood bank for maintaining its blood supply. We tend to propose that our system will have a better understanding of donors' motivations to donate and personalizing their donation objectives would improve a blood bank's ability to secure and collect a more robust supply of blood. The projected system puts forward a solution to predict whether a particular donor can donate the blood or not within the coming month or not. This can facilitate the blood banks to forecast their stock of various varieties of blood groups and prepare them consequently.
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Last modified: 2019-04-15 23:02:23