工业工程Issue(4)：111-115,5.DOI:10.3969/j.issn.1007-7375.2014.04.018
基于 CV-SVM 方法的手术时间估计
Surgery Time Duration Estimation Based on the CV-SVM Method
摘要
Abstract
Surgery time duration estimation is the premise and basis of operation room scheduling .In order to estimate the surgery duration time accurately and provide effective information for operation room sched-uling , by using the cross validation method to optimize the support vector machine parameter , a cross vali-dation and support vector machine estimation model ( CV-SVM) is built.In order to verify the performance of the model , the model is compared with the radial basis function ( RBF) neural networks model , and a case of eye cornea transplant of a hospital is used to validate the model .Results show that , in comparison with the RBF model , the mean absolute percentage error of CV-SVM is below 11%and the relative error is below 23%, confirming the effectiveness of the model and providing an effective method to estimate surgery time duration.关键词
手术时间/交叉验证(CV)/支持向量机(SVM)Key words
surgery time duration(CV)/cross validation/support vector machine(SVM)分类
信息技术与安全科学引用本文复制引用
高妮妮,刘子先,张海英..基于 CV-SVM 方法的手术时间估计[J].工业工程,2014,(4):111-115,5.基金项目
国家自然科学基金资助项目 （）
