Prediction of perioperative transfusions using an artificial neural network
by Steven Walczak, Vic Velanovich
BackgroundAccurate prediction of operative transfusions is essential for resource allocation and identifying patients at risk of postoperative adverse events. This research examines the efficacy of using artificial neural networks (ANNs) to predict transfusions for all inpatient operations.
MethodsOver 1.6 million surgical cases over a two year period from the NSQIP-PUF database are used. Data from 2014 (750937 records) are used for model development... Читать дальше...
