2010
EMSS 2010 Proceeding
Prediction of blood demands in a hospital
Authors: Christian Fischer, Lukas Bloder, Christoph Neumüller, Sebastian Pimminger, Michael Affenzeller, Stephan Winkler, Herbert Stekel, Rupert Frechinger
Abstract
In this paper we describe the use of genetic program- ming for the prediction of blood demands. As blood bags for Hospitals are provided by blood banks on de- mand, predicting the needed amount of those should be as precise as possible. In order to achieve such an accu- rate prediction we have used genetic programming for data based modeling in order to find a mathematical model which predicts the blood bag demand of a hos- pital. This model should allow the hospital to minimize storage costs and the probability of running out of cer- tain types of blood bags. In addition to the anonymized patient data provided by the General Hospital Linz, Austria we have also considered supplemental data such as weather and historical data such as the blood demand of the last few days which might lead to a more accurate model.
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