Results 11 to 20 of about 3,627,888 (206)

Receiver operating characteristic (ROC) curve

, 2015
An example of Receiver operating characteristic (ROC) analysis for the prediction of ‘true segregating SNVs’ in the HY population using the allele frequencies in the exome capture experiment at a MAF threshold of 0.15.
Elena Pomari (803054), Slobodanka Radovic (803055), Alessandro Spadotto (803056), Bruno Stefanon (803057), Denis Guiatti (803053)   +4 more
openaire   +2 more sources

The receiver operating characteristic (ROC) curve

Southwest Respiratory and Critical Care Chronicles, 2017
Shengping Yang, Gilbert Berdine
doaj   +3 more sources

Receiver operating characteristic curve

Current Medicine Research and Practice, 2012
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, Vivek Choudhury, Satish Saluja   +2 more
doaj   +2 more sources

Modernising Receiver Operating Characteristic (ROC) Curves

Algorithms, 2023
The justification for making a measurement can be sought in asking what decisions are based on measurement, such as in assessing the compliance of a quality characteristic of an entity in relation to a specification limit, SL. The relative performance of testing devices and classification algorithms used in assessing compliance is often evaluated using
Leslie R. Pendrill, Jeanette Melin, Anne Stavelin, Gunnar Nordin   +3 more
openaire   +3 more sources

Receiver-operating-characteristic (ROC) curve.

, 2019
Receiver-operating-characteristic (ROC) curve illustrating the relationship between sensitivity and complement of specificity (1-specificity) for the modern standard Arabic version of Lower Extremity Functional Scale.
Jasenko Klauznicer (6817976), Abdallah Itani (6817979), Vasileios Korakakis (5069123), Giannis Giakas (5813186), Omar Al Sayrafi (6817982), Matthew C. Azzopardi (6817973), Nikolaos Malliaropoulos (3255417), Michael Saretsky (6817970), Rodney Whiteley (6651011)   +8 more
core   +4 more sources

Diagnostic methods 2: receiver operating characteristic (ROC) curves [PDF]

Kidney International, 2009
Clinical practice commonly demands 'yes or no' decisions; and for this reason a clinician frequently needs to convert a continuous diagnostic test into a dichotomous test. Receiver operating characteristic (ROC) curve analysis is an important test for assessing the diagnostic accuracy (or discrimination performance) of quantitative tests throughout the
Tripepi, Giovanni, Jager, Kitty J., Dekker, Friedo W., Zoccali, Carmine   +3 more
openaire   +4 more sources

Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists [PDF]

Korean Journal of Radiology, 2004
The receiver operating characteristic (ROC) curve, which is defined as a plot of test sensitivity as they coordinate versus its 1-specificity or false positive rate (FPR) as the x coordinate, is an effective method of evaluating the performance of diagnostic tests. The purpose of this article is to provide a nonmathematical introduction to ROC analysis.
Park, Seong Ho, Goo, Jin Mo, Jo, Chan-Hee   +2 more
openaire   +2 more sources

Receiver-operating characteristic (ROC) curve for median apparent diffusion coefficient.

, 2023
Receiver-operating characteristic (ROC) curve for median apparent diffusion coefficient.
Takahiro Sueoka (14992628), Saki Kawai (14992631), Tatsuo Ichinohe (3571925), Takakazu Kawase (341461), Kazuo Awai (515602), Nobuko Tanitame (14992634), Ryo Higashino (14992625), Miyuki Takasu (515596), Akihisa Tamura (14992637), Makoto Iida (3586817)   +9 more
core   +1 more source

Diagnostic Utility of IGF2BP1 and Its Targets as Potential Biomarkers in ETV6-RUNX1 Positive B-Cell Acute Lymphoblastic Leukemia

Frontiers in Oncology, 2021
Around 85% of childhood Acute Lymphoblastic Leukemia (ALL) are of B-cell origin and characterized by the presence of different translocations including BCR-ABL1, ETV6-RUNX1, E2A-PBX1, and MLL fusion proteins.
Gunjan Sharma, Elza Boby, Thakur Nidhi, Ayushi Jain, Jay Singh, Archna Singh, Parthaprasad Chattopadhyay, Sameer Bakhshi, Anita Chopra, Jayanth Kumar Palanichamy   +9 more
doaj   +1 more source

A simplified method to approximate a ROC curve with a Bézier curve to calculate likelihood ratios of quantitative test results

MethodsX, 2020
In order to calculate likeli hood ratios (LR) values for quantitative test results, a distribution-independent algorithm based on Bézier curves is proposed.
Walter Fierz
doaj   +1 more source