ROC Curve

"ROC Curve" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli.

Descriptor ID	D012372
MeSH Number(s)	E05.318.740.872.750 E05.318.780.800.750 N05.715.360.780.700.680 N06.850.520.445.800.750
Concept/Terms	ROC Curve ROC Curve Curve, ROC Curves, ROC ROC Curves Analysis, ROC Analyses, ROC ROC Analyses ROC Analysis Receiver Operating Characteristic Receiver Operating Characteristic Characteristic, Receiver Operating Characteristics, Receiver Operating Receiver Operating Characteristics

Below are MeSH descriptors whose meaning is more general than "ROC Curve".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Statistics as Topic [E05.318.740]
Sensitivity and Specificity [E05.318.740.872]
ROC Curve [E05.318.740.872.750]
Epidemiologic Research Design [E05.318.780]
Sensitivity and Specificity [E05.318.780.800]
ROC Curve [E05.318.780.800.750]
Health Care [N]
Health Care Quality, Access, and Evaluation [N05]
Quality of Health Care [N05.715]
Health Care Evaluation Mechanisms [N05.715.360]
Epidemiologic Research Design [N05.715.360.780]
Sensitivity and Specificity [N05.715.360.780.700]
ROC Curve [N05.715.360.780.700.680]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Epidemiologic Research Design [N06.850.520.445]
Sensitivity and Specificity [N06.850.520.445.800]
ROC Curve [N06.850.520.445.800.750]

Below are MeSH descriptors whose meaning is related to "ROC Curve".

Below are MeSH descriptors whose meaning is more specific than "ROC Curve".

publications

Timeline | Most Recent

This graph shows the total number of publications written about "ROC Curve" by people in this website by year, and whether "ROC Curve" was a major or minor topic of these publications.

Bar chart showing 85 publications over 20 distinct years, with a maximum of 11 publications in 2014

To see the data from this visualization as text, click here.

Year	Minor Topic	Total
1992	1	1
2001	1	1
2002	3	3
2003	2	2
2005	3	3
2006	2	2
2007	2	2
2008	4	4
2009	4	4
2010	2	2
2011	4	4
2012	7	7
2013	9	9
2014	11	11
2015	5	5
2016	8	8
2017	5	5
2018	4	4
2019	5	5
2020	3	3

Below are the most recent publications written about "ROC Curve" by people in Profiles.

Nielsen RL, Helenius M, Garcia SL, Roager HM, Aytan-Aktug D, Hansen LBS, Lind MV, Vogt JK, Dalgaard MD, Bahl MI, Jensen CB, Muktupavela R, Warinner C, Aaskov V, Gøbel R, Kristensen M, Frøkiær H, Sparholt MH, Christensen AF, Vestergaard H, Hansen T, Kristiansen K, Brix S, Petersen TN, Lauritzen L, Licht TR, Pedersen O, Gupta R. Data integration for prediction of weight loss in randomized controlled dietary trials. Sci Rep. 2020 11 18; 10(1):20103.

View in: PubMed
Krittanawong C, Virk HUH, Bangalore S, Wang Z, Johnson KW, Pinotti R, Zhang H, Kaplin S, Narasimhan B, Kitai T, Baber U, Halperin JL, Tang WHW. Machine learning prediction in cardiovascular diseases: a meta-analysis. Sci Rep. 2020 09 29; 10(1):16057.

View in: PubMed
Xie YR, Castro DC, Bell SE, Rubakhin SS, Sweedler JV. Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning. Anal Chem. 2020 07 07; 92(13):9338-9347.

View in: PubMed
Liu R, Sun M, Zhang G, Lan Y, Yang Z. Towards early monitoring of chemotherapy-induced drug resistance based on single cell metabolomics: Combining single-probe mass spectrometry with machine learning. Anal Chim Acta. 2019 Dec 27; 1092:42-48.

View in: PubMed
Tierney W, Shah J, Clancy K, Lee MY, Ciolek PJ, Fritz MA, Lamarre ED. Predictive value of the ACS NSQIP calculator for head and neck reconstruction free tissue transfer. Laryngoscope. 2020 03; 130(3):679-684.

View in: PubMed
Chen X, Zargari A, Hollingsworth AB, Liu H, Zheng B, Qiu Y. Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput Methods Programs Biomed. 2019 Oct; 179:104995.

View in: PubMed
Moore TM, Calkins ME, Satterthwaite TD, Roalf DR, Rosen AFG, Gur RC, Gur RE. Development of a computerized adaptive screening tool for overall psychopathology ("p"). J Psychiatr Res. 2019 09; 116:26-33.

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Mirniaharikandehei S, VanOsdol J, Heidari M, Danala G, Sethuraman SN, Ranjan A, Zheng B. Developing a Quantitative Ultrasound Image Feature Analysis Scheme to Assess Tumor Treatment Efficacy Using a Mouse Model. Sci Rep. 2019 05 13; 9(1):7293.

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Sharif R, Bak-Nielsen S, Sejersen H, Ding K, Hjortdal J, Karamichos D. Prolactin-Induced Protein is a novel biomarker for Keratoconus. Exp Eye Res. 2019 02; 179:55-63.

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Muisyo T, Bernardo EO, Camazine M, Colvin R, Thomas KA, Borgman MA, Spinella PC. Mortality prediction in pediatric trauma. J Pediatr Surg. 2019 Aug; 54(8):1613-1616.

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