Sentence examples for predictive performance of the system from inspiring English sources

This solution can be potentially useful for other similar CADe systems where the likely false positives include a separate group with a specific location and/or appearance and can be annotated and incorporated in the learning process in order to improve the predictive performance of the system.

The superior predictive performance of the PIRO system for ICU admission may be helpful in establishing the disposition of septic patients in the ED.

Sensitivities per lesion and per patient, positive predictive values per lesion and per patient, the number of false positives per patient and the mean runtime (with standard deviation) were calculated for the two detectors (lytic and blastic) to assess the predictive performance of the CADe system.

This study was designed to assess the predictive performance of the PIRO system for ICU admission, development of multiple organ dysfunction (MOD), and 28-day mortality in septic patients in the ED, and to compare this scoring system with the Acute Physiology and Chronic Health Evaluation (APACHE) II [ 14] and Mortality in Emergency Department Sepsis (MEDS) scores [ 7].

The present study aimed to examine the predictive performance of the logistic European System for Cardiac Operative Risk Evaluation (EuroSCORE) in a large cohort of patients undergoing cardiac surgery from 1999 through 2010 because methodologic shortcomings have hampered many previous studies questioning its predictive performance.

On the other hand, the poor predictive performance of the remifentanil target-infusion system incorporating the population pharmacokinetic parameters for remifentanil of Minto et al [ 7] developed using data from adult patients does not meet the criteria for clinical utility [ 18] and thus has a limited utility in pediatric patients.

The predictive performance of the MSKCC nomogram and a scoring system developed at Russells Hall Hospital, United Kingdom, were evaluated using the Seoul dataset [ 6, 28].

Predictive performance of the constructed RBFN classifier is evaluated by performing k-fold cross validation.

The predictive performance of the risk stratification tools is shown in Figure 2.

Our results indicated that combining different fingerprints did improve the predictive performance of the SEA model.

Lastly, the predictive performance of the design network is not tested in (Zagouras et al. 2013).