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A data-driven modeling approach is proposed for using system integration scaling factors and positioning performance of an exposure machine system to build models for predicting positioning errors and for analyzing parameter sensitivity. The proposed approach uses a uniform experimental design (UED), multiple regression (MR), back-propagation neural network (BPNN), adaptive neuro-fuzzy inference system...
The study purposes to validate the use of ANN model for predicting in-hospital survival in (HCC) surgery patients in Taiwan and to compare the predictive accuracy of ANN with that of LR model. Patients who underwent a HCC surgery during the period from 1998 to 2009 were included in the study. This study retrospectively compared 1,000 pairs of LR and ANN models based on initial clinical data for 22,926...
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