Results 71 to 80 of about 3,583,799 (330)
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Prequential AUC: properties of the area under the ROC curve for data streams with concept drift
Modern data-driven systems often require classifiers capable of dealing with streaming imbalanced data and concept changes. The assessment of learning algorithms in such scenarios is still a challenge, as existing online evaluation measures focus on ...
D. Brzeziński, J. Stefanowski
semanticscholar +1 more source
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Background Decision curve analysis has been introduced as a method to evaluate prediction models in terms of their clinical consequences if used for a binary classification of subjects into a group who should and into a group who should not be treated ...
Zumbrunn Thomas, Rousson Valentin
doaj +1 more source
In patients with malignant ureteral obstruction undergoing percutaneous nephrostomy, sarcopenia defined by a low psoas muscle index was independently associated with poor overall survival on multivariate Cox regression analysis, suggesting that preoperative assessment of psoas muscle index may aid prognostic stratification in this population.
Kota Shimokihara +3 more
wiley +1 more source
Background/Objectives: This work introduces accuracy- and precision-ROC curves in addition to SS– and PV–ROC curves and shows a novel means of profiling biomarker characteristics for validation of optimal cutoffs in clinical diagnostics and decision ...
Peter Oehr
doaj +1 more source
Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information [PDF]
IntroductionThe livestock sector excels in the production of dairy and meat products. These products, serving as vital sources of animal protein, hold a significant position in household diets.
E. Vahedi Tekmehdash +4 more
doaj +1 more source
nsROC: An R package for Non-Standard ROC Curve Analysis
The receiver operating characteristic (ROC) curve is a graphical method which has become standard in the analysis of diagnostic markers, that is, in the study of the classification ability of a numerical variable.
Sonia Pérez-Fernández +3 more
semanticscholar +1 more source

