… Many clinical prediction rules for short-term mortality after … Few rules exist for predicting
long-term survival in the … of models for predicting long-term survival after coronary artery bypass …

… as present study aims to predict survival outcome after the … others, we focus on short-term
survival prediction. In addition, … define the survival time of more than 30 days as “Survival” and …

… classification as a prediction rule for survival among cirrhotics, … score to the likelihood of
survival was not significant, given the … the value of the CTC in predicting liver-related deaths at 1 …

… To investigate the incremental value in predicting gained from incorporating the short-term
outcome information, we compare the predicted individual risk for subjects using with that …

… for predicting short term survival … predicting their short-term survival. Patients live, on average,
for more than 8 years after onset of DAT and for 3 years following admission for long-term …

… that can be used to predict short-term survival at any time in the … Comparison of predicted
survival from the update model and … ’s recent clinical history add to our ability to predict survival. …

… in the prediction of the short-term survival among ACLF … two independent predictors for
short-term survival among ACLF … of conventional models in predicting short-term survival. Among …

… , short-term prediction of the likelihood of survival helps the … not provide a more effective
prediction of ultimate fatality than (… a reliable prognosis for short-term patient survival. Its practical …

… of survival models for predicting short-term prognosis. Many studies used for modelling survival
involve long-term … intervals of a length for which survival predictions are of interest (each …

… The purpose of this study is to utilize artificial neural network (ANN) modeling to predict
survival outcomes according to initial treatment modality and to develop an online decision-…