Results 21 to 30 of about 3,583,799 (330)

The receiver operating characteristic (ROC) curve

Southwest Respiratory and Critical Care Chronicles, 2017
Corresponding author: Shengping Yang Contact Information: Shengping.yang@ttuhsc.edu DOI: 10.12746/swrccc.v5i19.391 Results from routine blood tests can be used potentially as biomarkers for identifying disease.
Shengping Yang, Gilbert Berdine
doaj   +2 more sources

What is an ROC curve? [PDF]

Emergency Medicine Journal, 2017
The paper by Bodyet alis concerned with the evaluation of decision aids, which can be used to identify potential acute coronary syndromes (ACS) in the ED. The authors previously developed the Manchester Acute Coronary Syndromes model (MACS) decision aid, which uses several clinical variables and two biomarkers to ‘rule in’ and ‘rule out’ ACS.
Hoo, Z.H., Candlish, J., Teare, M.D.
openaire   +4 more sources

On nonparametric estimating ROC curve based on non-uniform rational B-spline. [PDF]

PLoS ONE
The receiver operating characteristic (ROC) curve is a commonly used statistical method to assess the efficacy of a diagnostic test or biomarker measured on a continuous scale. This work presents a versatile approach using a non-uniform rational B-spline
Mahmut Sami Erdoğan
doaj   +2 more sources

Evaluating Preclinical‐to‐Human Bioavailability Classification Using Smooth ROC Curve Estimation [PDF]

CPT: Pharmacometrics & Systems Pharmacology
Human oral bioavailability is a critical pharmacokinetic parameter that determines systemic drug exposure, informs dose selection, and guides compound prioritization during early‐stage drug development.
Mahmut Sami Erdoğan
doaj   +2 more sources

ROC Curve

, 2013
ROC curve.
Alberto Garcia-Zamalloa (319006), Jorge Taboada-Gomez (319007)   +1 more
core   +4 more sources

A Novel Information Complexity Approach to Score Receiver Operating Characteristic (ROC) Curve Modeling [PDF]

Entropy
Performance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Aylin Gocoglu, Neslihan Demirel, Hamparsum Bozdogan   +2 more
doaj   +2 more sources

ROC Curve Estimation

Revstat Statistical Journal, 2014
This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas ...
Luzia Gonçalves , Ana Subtil , M. Rosário Oliveira , Patricia de Zea Bermudez   +3 more
doaj   +2 more sources

Beyond the ROC Curve: The IMCP Curve

Analytics
The ROC curve [...]
Jesus S. Aguilar-Ruiz
doaj   +2 more sources

Sex prediction from human tooth dimension by ROC curve analysis: a preliminary study [PDF]

Scientific Reports
Though mathematical approaches are effective in developing reliable odontometric equations with high predictive accuracy for sex estimation in forensic odontology, these methods are often complex to apply, making them impractical in certain scenarios ...
Panjit Chunhabundit, Tawepong Arayapisit, Natchalee Srimaneekarn   +2 more
doaj   +2 more sources

Mutual Information as a Performance Measure for Binary Predictors Characterized by Both ROC Curve and PROC Curve Analysis

Entropy, 2020
The predictive receiver operating characteristic (PROC) curve differs from the more well-known receiver operating characteristic (ROC) curve in that it provides a basis for the evaluation of binary diagnostic tests using metrics defined conditionally on ...
Gareth Hughes, Jennifer Kopetzky, Neil McRoberts   +2 more
doaj   +3 more sources