… and consequently, an alternative risk map. In this case, we have to consider several risk maps
… In future work, we will apply the predictive risk estimation in combination with risk maps to …

… In risk prediction, in contrast, we ask for probabilities such as “… These two concepts,
classification and risk prediction, have … requires risk estimates from a prospective study design. …

… performances of different Value at Risk (VaR) methods, without … risk management for
economic vitality. As a complimentary statistical tool for the ranking model, we introduce a predictive …

… a clinically useful HCC risk-prediction score in patients with chronic hepatitis B, with use of
a community-based natural history cohort from Taiwan. The resulting predictive risk score was …

… continuous future risk estimation. Using this risk estimation, we introduce predictive risk maps
… The predictive risk maps indicate how critical a certain behavior will be in the future and we …

… using risk scores or prediction models, which assess the combined influence of multiple
measured risk factors, to estimate future disease risk … Risk scores based on a combination of risk …

… predicting a corporate analyst's risk estimate on a company using statistical tools. This kind
of risk estimation … , credit information analysis, to yield an estimate for credit risk. In this step, …

… predictive risk algorithms and how clinicians use them. Next, we describe population uses of
risk algorithms, highlighting the strengths of risk … Risk estimated using a risk algorithm often …

… , the development of a new practical prediction model was required. This study aimed to …
predictive model using the ultrasonography characteristics of thyroid nodules to stratify the risk …

… Simulations for synthetic examples with noise demonstrate the approach using the method
of unbiased predictive risk estimation for the truncated projected spectrum. The method is …