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 74 publications over 20 distinct years, with a maximum of 8 publications in 2010

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

Year	Minor Topic	Total
1997	2	2
2002	5	5
2003	2	2
2004	2	2
2005	2	2
2006	7	7
2007	1	1
2008	3	3
2009	7	7
2010	8	8
2011	4	4
2012	3	3
2013	1	1
2014	5	5
2015	4	4
2016	4	4
2017	6	6
2018	5	5
2019	2	2
2020	1	1

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

Phan T, Brailovsky Y, Fareed J, Hoppensteadt D, Iqbal O, Darki A. Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios Predict All-Cause Mortality in Acute Pulmonary Embolism. Clin Appl Thromb Hemost. 2020 Jan-Dec; 26:1076029619900549.

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Genn L, Chapman J, Okatch H, Abell N, Marukutira T, Tshume O, Anabwani G, Gross R, Lowenthal ED. Pharmacy Refill Data are Poor Predictors of Virologic Treatment Outcomes in Adolescents with HIV in Botswana. AIDS Behav. 2019 Aug; 23(8):2130-2137.

View in: PubMed
Aliotta E, Nourzadeh H, Sanders J, Muller D, Ennis DB. Highly accelerated, model-free diffusion tensor MRI reconstruction using neural networks. Med Phys. 2019 Apr; 46(4):1581-1591.

View in: PubMed
Zeigler-Johnson C, Hudson A, Glanz K, Spangler E, Morales KH. Performance of prostate cancer recurrence nomograms by obesity status: a retrospective analysis of a radical prostatectomy cohort. BMC Cancer. 2018 Nov 03; 18(1):1061.

View in: PubMed
Kann BH, Aneja S, Loganadane GV, Kelly JR, Smith SM, Decker RH, Yu JB, Park HS, Yarbrough WG, Malhotra A, Burtness BA, Husain ZA. Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks. Sci Rep. 2018 09 19; 8(1):14036.

View in: PubMed
Chen CB, McCall NS, Pucci MJ, Leiby B, Dabbish N, Winter JM, Yeo CJ, Lavu H. The Combination of Pancreas Texture and Postoperative Serum Amylase in Predicting Pancreatic Fistula Risk. Am Surg. 2018 Jun 01; 84(6):889-896.

View in: PubMed
Morita Y, Marzbani K, Kinoshita H, El-Bashir J, Galusca D, Han X, Modak R. Potential for Orogastric Tube Attached Transesophageal Echocardiography to Improve Intraoperative Image Quality. J Cardiothorac Vasc Anesth. 2018 10; 32(5):e14-e16.

View in: PubMed
Nevler A, Berger Y, Rabinovitz A, Zmora O, Shabtai M, Rosin D, Gutman M. Diagnostic Value of Serum Bilirubin and Liver Enzyme Levels in Acute Appendicitis. Isr Med Assoc J. 2018 Mar; 20(3):176-181.

View in: PubMed
Amanullah S, Okudolo J, Rahmatnejad K, Lin SC, Wizov SS, Manzi Muhire RS, Hark LA, Zheng CX, Zhan T, Spaeth GL. The relationship between contrast sensitivity and retinal nerve fiber layer thickness in patients with glaucoma. Graefes Arch Clin Exp Ophthalmol. 2017 Dec; 255(12):2415-2422.

View in: PubMed
Matthew Fields J, Davis J, Alsup C, Bates A, Au A, Adhikari S, Farrell I. Accuracy of Point-of-care Ultrasonography for Diagnosing Acute Appendicitis: A Systematic Review and Meta-analysis. Acad Emerg Med. 2017 Sep; 24(9):1124-1136.

View in: PubMed

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