Results 31 to 40 of about 127,975,471 (298)
Active Learning to Maximize Area Under the ROC Curve
Sixth International Conference on Data Mining (ICDM'06), 2006 In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. The goal is then to judiciously choose which examples in U to have labeled in order to optimize some performance criterion, e.g. classification accuracy.
Culver, Matt, Kun, Deng, Scott, Stephen
openaire +3 more sources
Area under the ROC curve and optimism by EHR-continuity.
, 2023 Area under the ROC curve and optimism by EHR-continuity.
Aaron S. Kesselheim (7445897) +4 more
core +1 more source
Multi-Class Classification using Mixtures of Univariate and Multivariate ROC Curves
Journal of Biostatistics and Epidemiology, 2022 Introduction: Receiver Operating Characteristic (ROC) curve is one of the widely used supervised classification techniques to allocate/classify the individuals and also instrumental in comparing diagnostic tests.
SIVA G, Vishnu Vardhan R
doaj
ROCS: receiver operating characteristic surface for class-skewed high-throughput data. [PDF]
PLoS ONE, 2012 The receiver operating characteristic (ROC) curve is an important tool to gauge the performance of classifiers. In certain situations of high-throughput data analysis, the data is heavily class-skewed, i.e.
Tianwei Yu
doaj +1 more source
Evaluation of the Methods for Nonlinear Analysis of Heart Rate Variability
Fractal and Fractional, 2023 The dynamics of cardiac signals can be studied using methods for nonlinear analysis of heart rate variability (HRV). The methods that are used in the article to investigate the fractal, multifractal and informational characteristics of the intervals ...
Evgeniya Gospodinova +3 more
doaj +1 more source
Molecular Oncology, EarlyView.LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
Molecular Oncology, EarlyView.High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira +7 more
wiley +1 more source
Distributed non-disclosive validation of predictive models by a modified ROC-GLM
BMC Medical Research MethodologyBackground Distributed statistical analyses provide a promising approach for privacy protection when analyzing data distributed over several databases.
Daniel Schalk +4 more
doaj +1 more source