Results 61 to 70 of about 472,455 (180)
Recent findings show the importance of acceptance in the treatment of chronic tinnitus. So far, very limited research investigating the different levels of tinnitus acceptance has been conducted.
David Riedl +5 more
doaj +1 more source
Receiver operating characteristic (ROC) curves were generated to obtain classification area under the curve (AUC) as a function of feature standardization, fuzzification, and sample size from nine large sets of cancer-related DNA microarrays. Classifiers
Leif E. Peterson, M. Coleman
semanticscholar +1 more source
Empirical and Kernel Estimation of the ROC Curve
The paper presents chosen methods for estimating the ROC (Receiver Operating Characteristic) curve, including parametric and nonparametric procedures.
Aleksandra Katarzyna Baszczyńska
doaj
On Boundary Correction in Kernel Estimation of ROC Curves
The Receiver Operating Characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostics tests. The empirical ROC curve (which is a step function) is the most commonly used non-parametric estimator for the ROC curve.
Jan Koláček, Rohana J. Karunamuni
doaj +1 more source
Anthropometric cutoff values for detecting metabolic abnormalities in Jordanian adults
Yousef S Khader1, Anwar Batieha1, Hashim Jaddou1, Zahi Batieha2, Mohammed El-Khateeb3, Kamel Ajlouni31Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan ...
Khader Y +5 more
doaj
BackgroundThere is limited data on the association between TyG-BMI and NAFLD in patients with Type 2 Diabetes Mellitus (T2DM). The magnitude of risk prediction and predictive efficacy of TyG-BMI for T2DM with NAFLD remains unclear.ObjectiveTo examine the
Xiaoyi Qian +12 more
doaj +1 more source
Beyond the ROC Curve: Activity Monitoring to Evaluate Deep Learning Models in Clinical Settings
We evaluated ‘VITALCARE-SEPS’, a deep learning model for sepsis prediction, using the activity monitoring operator characteristics curve with two different scoring algorithms.
Hyunwoo CHOO +5 more
doaj
Receiver operating characteristic curve
A receiver operating characteristic (ROC) curve is a plot of tradeoff between sensitivity and specificity. It is a plot that evaluates a diagnostic test for a continuous variable between diseased and non-diseased subjects.
Anita Singh +2 more
doaj
The receiver operating characteristic curve accurately assesses imbalanced datasets
Summary Many problems in biology require looking for a “needle in a haystack,” corresponding to a binary classification where there are a few positives within a much larger set of negatives, which is referred to as a class imbalance.
Eve Richardson +5 more
semanticscholar +1 more source

