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 138 publications over 23 distinct years, with a maximum of 11 publications in 2016

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

Year	Minor Topic	Total
2002	3	3
2004	3	3
2005	5	5
2006	2	2
2007	8	8
2008	8	8
2009	7	7
2010	8	8
2011	6	6
2012	10	10
2013	9	9
2014	4	4
2015	5	5
2016	11	11
2017	4	4
2018	8	8
2019	5	5
2020	6	6
2021	7	7
2022	3	3
2023	3	3
2024	8	8
2025	5	5

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

Madewell ZJ, Rodriguez DM, Thayer MB, Rivera-Amill V, Aponte JT, Marzan-Rodriguez M, Paz-Bailey G, Adams LE, Wong JM. Machine Learning for Improved Dengue Diagnosis in Puerto Rico. Trop Med Int Health. 2025 Dec; 30(12):1283-1294.

View in: PubMed
Montgomery A, Vadapalli R, Dinenno FA, Schilling J, Jain P, Jacob A, Chism D, Shanker A. Machine learning to evaluate the effects of non-clinical social determinant features in predicting colorectal Cancer mortality in a medically underserved Appalachian population. Sci Rep. 2025 Jul 16; 15(1):25781.

View in: PubMed
Warren J, Dawson L, McCollom T, Hudson L, Dagan M, Zia A, Kavnoudias H, Lew P, Shaw J, Stub D, Taylor AJ. Application and Performance of CT-Fractional Flow Reserve in Non-ST-Segment Elevation Myocardial Infarction. Am J Cardiol. 2025 Jul 15; 247:6-12.

View in: PubMed
Madewell ZJ, Rodriguez DM, Thayer MB, Rivera-Amill V, Paz-Bailey G, Adams LE, Wong JM. Machine learning for predicting severe dengue in Puerto Rico. Infect Dis Poverty. 2025 Feb 04; 14(1):5.

View in: PubMed
Teele SA, Gazit AZ, Futterman C, La Cava WG, Cooper DS, Schwartz SM, Salvin JW. Investigation of a Novel Noninvasive Risk Analytics Algorithm With Laboratory Central Venous Oxygen Saturation Measurements in Critically Ill Pediatric Patients. Crit Care Explor. 2025 Jan; 7(1):e1204.

View in: PubMed
Guti?rrez-Peredo GB, Monta?o-Castell?n I, Guti?rrez-Peredo AJ, Lopes MB, Tapioca FPM, Guimaraes MGM, Monta?o-Castell?n S, Guedes SA, da Costa FPM, Mattoso RJC, Filho JCBO, Norris KC, de Almeida ARP, Lopes AA. The urine protein/creatinine ratio as a reliable indicator of 24-h urine protein excretion across different levels of renal function and proteinuria: the TUNARI prospective study. BMC Nephrol. 2024 Nov 21; 25(1):418.

View in: PubMed
Scott ES, Lubetkin EI, Janssen MF, Yfantopolous JN, Bonsel GJ, Haagsma JA. The performance relationship between the EQ-5D-5L composite "Anxiety/Depression" dimension and anxiety and depression symptoms in a large, general population sample. Qual Life Res. 2024 Nov; 33(11):3107-3119.

View in: PubMed
Jahan TA, Lapin NA, O'Connell MT, Jo C, Ma Y, Tareen NG, Copley LA. Accelerated Severity of Illness Score Enhances Prediction of Complicated Acute Hematogenous Osteomyelitis in Children. Pediatr Infect Dis J. 2025 Jan 01; 44(1):24-31.

View in: PubMed
Mohammadi M, Su E, Mohammadzadeh V, Besharati S, Martinyan A, Coleman AL, Law SK, Caprioli J, Weiss RE, Nouri-Mahdavi K. Comparison of Retinal Nerve Fiber Layer and Ganglion Cell Complex Rates of Change in Patients With Moderate to Advanced Glaucoma. Am J Ophthalmol. 2024 Dec; 268:190-198.

View in: PubMed
Ahn HJ, Ishikawa K, Kim MH. Exploring the diagnostic performance of machine learning in prediction of metabolic phenotypes focusing on thyroid function. PLoS One. 2024; 19(6):e0304785.

View in: PubMed

People

Explore

Similar Concepts

Top Journals