<p>Accuracy results of PSA testing for prostate cancer assessed using repeated double cross validation of Random Forest and Linear Discriminant Analysis (LDA) models.</p
<p>No. of subjects: number of subjects; SD: standard deviation; IQR: interquartile range; PSA: prost...
Purpose We tested whether total prostate-specific antigen velocity (tPSAv) improves accuracy of a mo...
OBJECTIVE: To examine whether a single repeat prostate-specific antigen (PSA) helps discriminate can...
<p>Accuracy results of PSA testing for prostate cancer assessed with repeated 10 fold cross validati...
<p>Accuracy results of repeated 10 fold cross validation of the Random Forest and Linear Discriminan...
<p>Accuracy results of repeated 10 fold cross validation of the Random Forest and Linear Discriminan...
International audienceBACKGROUND:Despite the extensive development of risk prediction models to aid ...
<p>Receiver operating characteristic curve (ROC) for the random forest (RF) and linear discriminant ...
Prostate cancer is the commonly diagnosed cancer worldwide, and there were 1,276 thousand new prosta...
specific antigen (PSA) is widely used in screening for prostate cancer. Specificity can be improved ...
Background: Prostate-specifi c antigen (PSA) testing is the pri-mary method used to diagnose prostat...
<p>PCa – prostate cancer; predicted annual rate – model predicted; observed annual rate – annual rat...
Prostate specific antigen (PSA) is a biomarker for prostate cancer (PCa) that is widely used for PCa...
textabstractBackground: Prostate-specific antigen (PSA) testing has limited accuracy for the early d...
Model-based accuracy of screening and diagnostic tests per category compared to the modelled true st...
<p>No. of subjects: number of subjects; SD: standard deviation; IQR: interquartile range; PSA: prost...
Purpose We tested whether total prostate-specific antigen velocity (tPSAv) improves accuracy of a mo...
OBJECTIVE: To examine whether a single repeat prostate-specific antigen (PSA) helps discriminate can...
<p>Accuracy results of PSA testing for prostate cancer assessed with repeated 10 fold cross validati...
<p>Accuracy results of repeated 10 fold cross validation of the Random Forest and Linear Discriminan...
<p>Accuracy results of repeated 10 fold cross validation of the Random Forest and Linear Discriminan...
International audienceBACKGROUND:Despite the extensive development of risk prediction models to aid ...
<p>Receiver operating characteristic curve (ROC) for the random forest (RF) and linear discriminant ...
Prostate cancer is the commonly diagnosed cancer worldwide, and there were 1,276 thousand new prosta...
specific antigen (PSA) is widely used in screening for prostate cancer. Specificity can be improved ...
Background: Prostate-specifi c antigen (PSA) testing is the pri-mary method used to diagnose prostat...
<p>PCa – prostate cancer; predicted annual rate – model predicted; observed annual rate – annual rat...
Prostate specific antigen (PSA) is a biomarker for prostate cancer (PCa) that is widely used for PCa...
textabstractBackground: Prostate-specific antigen (PSA) testing has limited accuracy for the early d...
Model-based accuracy of screening and diagnostic tests per category compared to the modelled true st...
<p>No. of subjects: number of subjects; SD: standard deviation; IQR: interquartile range; PSA: prost...
Purpose We tested whether total prostate-specific antigen velocity (tPSAv) improves accuracy of a mo...
OBJECTIVE: To examine whether a single repeat prostate-specific antigen (PSA) helps discriminate can...