Results 51 to 60 of about 488,717 (225)

Receiver-operating characteristic (ROC) curve.

open access: yes, 2021
ROC curve analysis of TET1 (continuous line), 5-hmC (dotted line), and 5-mC (dashed line), respectively. (TIF)
Yi-Jia Lin (687538)   +9 more
core   +1 more source

Predicting Customer’s Satisfaction (Dissatisfaction) Using Logistic Regression [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2016
Customer satisfaction is a metric of how products and services offered by companies meet customer expectations. This performance indicator assists companies in managing and monitoring their business effectively.
Adarsh Anand, Gunjan Bansal
doaj   +1 more source

The establishment and validation of a prediction model for traumatic intracranial injury patients: a reliable nomogram

open access: yesFrontiers in Neurology, 2023
ObjectiveTraumatic brain injury (TBI) leads to death and disability. This study developed an effective prognostic nomogram for assessing the risk factors for TBI mortality.MethodData were extracted from an online database called “Multiparameter ...
Jia Yi Chen   +19 more
doaj   +1 more source

Relation of Serum Hepcidin Levels and Restless Legs Syndrome in Patients Undergoing Peritoneal Dialysis

open access: yesFrontiers in Medicine, 2021
Introduction: Restless legs syndrome is a common and severe complication in patients undergoing peritoneal dialysis (PD), which seriously affects the life quality and prognosis of patients undergoing PD.
Yanhong Guo   +9 more
doaj   +1 more source

Receiver operating characteristic (ROC) curve.

open access: yes, 2018
Receiver operating characteristic (ROC) curve.
Duc T. Nguyen (690616)   +2 more
core   +1 more source

An efficient and user-friendly software tool for ordered multi-class receiver operating characteristic analysis based on python

open access: yesSoftwareX, 2022
Receiver Operating Characteristic (ROC) analysis is a prevalent tool for two-class problems in a wide range of science and engineering areas. The relevant scalar area under the ROC curve (AUC) has been proven to be a robust evaluation index for ...
Shun Liu   +5 more
doaj   +1 more source

Relationship between Brier score and area under the binormal ROC curve [PDF]

open access: yes, 2002
If we consider the Brier Score (B) in the context of the signal detection theory and assume that it makes sense to consider the existence of B as a parameter for the population (let B be this B), and if we assume that the calibration in the observer's ...
Ishigaki, Takeo   +4 more
core   +1 more source

plotROC: A Tool for Plotting ROC Curves

open access: yesJournal of Statistical Software, 2017
Plots of the receiver operating characteristic (ROC) curve are ubiquitous in medical research. Designed to simultaneously display the operating characteristics at every possible value of a continuous diagnostic test, ROC curves are used in oncology to ...
Michael C. Sachs
doaj   +1 more source

ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ ASSESSMENT

open access: yesQuantitative Methods in Economics, 2014
Article presents a ROC (receiver operating characteristic) curve and its application for classification models’ assessment. ROC curve, along with area under the receiver operating characteristic (AUC) is frequently used as a measure for the diagnostics ...
Ryszard Szupiluk   +2 more
doaj  

Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data

open access: yesRisks, 2022
In the practice of credit-risk management, the models for receiver operating characteristic (ROC) curves are helpful in describing the shape of an ROC curve, estimating the discriminatory power of a scorecard, and generating ROC curves without underlying
Błażej Kochański
doaj   +1 more source

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