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 86 publications over 20 distinct years, with a maximum of 10 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	1	1
2008	4	4
2009	4	4
2010	2	2
2011	4	4
2012	7	7
2013	8	8
2014	10	10
2015	5	5
2016	8	8
2017	5	5
2018	4	4
2019	6	6
2020	6	6

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

Jones MA, Faiz R, Qiu Y, Zheng B. Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features. Phys Med Biol. 2022 02 21; 67(5).

View in: PubMed
Danala G, Desai M, Ray B, Heidari M, Maryada SKR, Prodan CI, Zheng B. Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study. Ann Biomed Eng. 2022 Apr; 50(4):413-425.

View in: PubMed
Gai T, Thai T, Jones M, Jo J, Zheng B. Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images. J Xray Sci Technol. 2022; 30(2):377-388.

View in: PubMed
Chow JH, Richards JE, Galvagno SM, Coleman PJ, Lankford AS, Hendrix C, Dunitz J, Ibrahim I, Ghneim M, Tanaka KA, Scalea TM, Mazzeffi MA, Hu P. The Algorithm Examining the Risk of Massive Transfusion (ALERT) Score Accurately Predicts Massive Transfusion at the Scene of Injury and on Arrival to the Trauma Bay: A Retrospective Analysis. Shock. 2021 10 01; 56(4):529-536.

View in: PubMed
Zhou Z, Zhang J, Xu C, Yang J, Zhang Y, Liu M, Shi X, Li X, Zhan H, Chen W, McNally LR, Fung KM, Luo W, Houchen CW, He Y, Zhang C, Li M. An integrated model of N6-methyladenosine regulators to predict tumor aggressiveness and immune evasion in pancreatic cancer. EBioMedicine. 2021 Mar; 65:103271.

View in: PubMed
Shankar R, Leimanis ML, Newbury PA, Liu K, Xing J, Nedveck D, Kort EJ, Prokop JW, Zhou G, Bachmann AS, Chen B, Rajasekaran S. Gene expression signatures identify paediatric patients with multiple organ dysfunction who require advanced life support in the intensive care unit. EBioMedicine. 2020 Dec; 62:103122.

View in: PubMed
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
Bolstridge J, O'Neil ER, Aden JK, Muisyo T, Spinella PC, Borgman MA. Use of the BIG score to predict mortality in pediatric trauma. Am J Emerg Med. 2021 07; 45:472-475.

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

People

Explore

Similar Concepts

Top Journals