Blood Donation Prediction using Artificial Neural Network

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Abstract
The aim of this research is to study the performance of JustNN environment that have not been previously examined to care of this blood donation problem forecasting. An Artificial Neural Network model was built to understand if performance is considerably enhanced via JustNN tool or not. The inspiration for this study is that blood request is steadily growing day by day due to the need of transfusions of blood because of surgeries, accidents, diseases etc. Accurate forecast of the number of blood donors can help medical professionals know the future supply of blood and plan consequently to attract volunteer of blood donors to fulfill the demand. We found that the ANN model using JustNN tool led to the best test set performance accuracy of (99.31%), which is better than other studies.
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BARBDP-14
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Archival date: 2019-11-02
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2019-11-02

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