2 天前 - … All models were trained to optimize their hyperparameters to maximize AUC while
keeping sensitivity at a minimum of 0.6. By following this method, we ensured that the models …

2 天前 - … approach. No difference was found on risk of hypoxemia or complications. Sensitivity
analyses involving frequentist analysis … Conclusion: This Bayesian analysis supports the …

2 天前 - … The performance of the inverse model was thoroughly investigated through
sensitivity analysis, encompassing different background representations, prior uncertainty levels, …

2 天前 - … , the sensitivity analysis method is utilized to quantify the sensitivity of the potential
influencing factors to the severity of road accidents, and the backward selection method is …

2 天前 - … are examples of Bayesian inference, a reasoning method in … We analyze the
component of the neural population … in more biased and less sensitive perceptual decisions. …

4 天前 - … of seeking spectral band combinations, we will adopt the label correlation method.
This … This study will refine and extend this method to multi-class tasks to evaluate its efficacy …

4 天前 - … and common sensitivity analyses to evaluate the MR assumptions. Bayesian
colocalization and gene ontology (GO) enrichment analyses provided additional insights. …

4 天前 - … our approach innovatively utilizes Bayesian optimization. In our methodology, we
optimize DES considering instance hardness and region of competence, employing balanced …

4 天前 - … To verify the robustness of our study results, we performed a sensitivity analysis
using the leave-one-out method. Results:The study strictly adhered to the PRISMA guidelines …

5 天前 - … control system, a method based on the combination of Fuzzy Fault Tree (FFTA) and
Bayesian Network (BN) is proposed in this study to analyze the qualitative and quantitative …