prediction models given a user's input of model discrimination (AUC) - the process to transform the AUC to a Cohen's D value is proposed here http://dx.doi.org/10.5093/ejpalc2018a5 and we have a journal article currently under review which uses it for the same purpose as in this ...
Both in-hospital cardiac arrest (IHCA) and out-of-hospital cardiac arrest (OHCA) have higher incidence and lower survival rates. Predictors of in-hospital mortality for intensive care unit (ICU) admitted cardiac arrest (CA) patients remain unclear. The M
Direct electrical stimulation can modulate the activity of brain networks for the treatment of several neurological and neuropsychiatric disorders and for restoring lost function. However, precise neuromodulation in an individual requires the accurate mo
The model selection method for MLR is Forward Stepwise. Figure 4 shows that R for models 1 and 2 are 0.78 and 0.91 respectively. In addition, the means for significant effects of input variables on the compressive strength are estimated and found that cement, fine aggregate, and coarse ...
For hourly PM2.5 concentration prediction, it is beneficial to split the whole dataset into several subsets with similar properties and to train a local prediction model for each subset. However, the methods based on local models need to solve the global-local duality. In this study, a novel ...
In this work, we proposed a real-time prediction model for carbon content in molten steel using real-time operation data and the carbon oxide content in off-gas and showed that the decarburization end time could be accurately determined using the model. The main idea of this study is that ...
PatientLevelPrediction is an R package for building and validating patient-level predictive models using data in the OMOP Common Data Model format. Reps JM, Schuemie MJ, Suchard MA, Ryan PB, Rijnbeek PR. Design and implementation of a standardized framework to generate and evaluate patient-level...
In: CVPR. Carreira, J., & Zisserman, A. (2017). Quo vadis, action recognition? a new model and the kinetics dataset. In: CVPR. Chao, Y.W., Vijayanarasimhan, S., Seybold, B., Ross, D.A., Deng, J., & Sukthankar, R. (2018). Rethinking the Faster R-CNN architecture for ...
In the validation cohort, the slope and intercept of the linear predictor were also assessed. The results of multivariable analysis in the validation cohort were not used to change the model obtained in the derivation cohort. All statistical tests were two-sided. Stata computer software version 16....
and type of model and virtually always provides more accurate predictions. Moreover, CART, compared to the other prediction methods, provides the clinician with useful information regarding the relative importance of predictors in group separation with the advantage of producing human-readable rules33. ...