 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.
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
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| 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
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| 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
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Below are MeSH descriptors whose meaning is more general than "ROC Curve".
Below are MeSH descriptors whose meaning is more specific than "ROC Curve".
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.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1995 | 0 | 1 | 1 | | 1996 | 0 | 1 | 1 | | 1997 | 0 | 3 | 3 | | 1998 | 0 | 1 | 1 | | 1999 | 0 | 1 | 1 | | 2000 | 0 | 3 | 3 | | 2001 | 0 | 2 | 2 | | 2002 | 0 | 2 | 2 | | 2003 | 0 | 5 | 5 | | 2004 | 0 | 6 | 6 | | 2005 | 1 | 7 | 8 | | 2006 | 0 | 11 | 11 | | 2007 | 0 | 9 | 9 | | 2008 | 0 | 18 | 18 | | 2009 | 1 | 12 | 13 | | 2010 | 0 | 15 | 15 | | 2011 | 0 | 14 | 14 | | 2012 | 0 | 17 | 17 | | 2013 | 0 | 22 | 22 | | 2014 | 0 | 22 | 22 | | 2015 | 0 | 30 | 30 | | 2016 | 0 | 22 | 22 | | 2017 | 0 | 18 | 18 | | 2018 | 0 | 27 | 27 | | 2019 | 2 | 24 | 26 | | 2020 | 0 | 18 | 18 | | 2021 | 0 | 22 | 22 | | 2022 | 1 | 10 | 11 | | 2023 | 0 | 1 | 1 | | 2024 | 1 | 13 | 14 | | 2025 | 0 | 7 | 7 |
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Below are the most recent publications written about "ROC Curve" by people in Profiles.
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Dadelahi A, Walker BS, Banerjee D, Mahler M, Saadalla A, Nandakumar V. Is the 99th Percentile Cutoff Still Relevant? A Single-Center Assessment of Different Thresholds for Diagnosing Antiphospholipid Syndrome. J Appl Lab Med. 2025 May 02; 10(3):605-618.
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Wiredja D, Libert D, Jangam D, Ho C, Tung J, Zhang BM. Performance Evaluation of a Next-Generation Sequencing-Based T-Cell Receptor Gene Rearrangement Assay. J Mol Diagn. 2025 Jun; 27(6):465-474.
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Kam MLW, Tjong ELH, Chaudhary S, Koelsch TL, Pryor JB, Koslow M, Mohning MP, Solomon JJ, Huie TJ, Swigris JJ, Fern?ndez P?rez ER. Development and validation of a clinical, CT, genomic classifier and BAL scoring system for diagnosing idiopathic pulmonary fibrosis. Eur Respir J. 2025 Mar; 65(3).
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Bonsdorff A, Kjeseth T, Kirkeg?rd J, de Ponthaud C, Ghorbani P, Wennerblom J, Williamson C, Acher AW, Thillai M, Tarvainen T, Helanter? I, Uutela A, Sir?n J, Kokkola A, Sahakyan M, Kleive D, Hagen R, Lund A, Nielsen MF, Vaillant JC, Fristedt R, Bi?rserud C, Bratlie SO, Tingstedt B, Labori KJ, Gaujoux S, Wigmore SJ, Hallet J, Sparrelid E, Sallinen V. International multicentre validation of the left pancreatectomy pancreatic fistula prediction models and development and validation of the combined DISPAIR-FRS prediction model. Br J Surg. 2025 Mar 04; 112(3).
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Akabane M, Kawashima J, Altaf A, Woldesenbet S, Cauchy F, Aucejo F, Popescu I, Kitago M, Martel G, Ratti F, Aldrighetti L, Poultsides GA, Imaoka Y, Ruzzenente A, Endo I, Gleisner A, Marques HP, Lam V, Hugh T, Bhimani N, Shen F, Pawlik TM. Dynamic ALBI score and FIB-4 index trends to predict complications after resection of hepatocellular carcinoma: A K-means clustering approach. Eur J Surg Oncol. 2025 Jun; 51(6):109723.
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Wallace ML, Kingrey RA, Rizzo JA, April MD, Fisher AD, Braverman MA, Yazer MH, Schauer SG. Transfusion quantities associated with 24-h mortality in trauma patients. Transfusion. 2025 May; 65 Suppl 1:S40-S47.
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Akabane M, Kawashima J, Altaf A, Woldesenbet S, Cauchy F, Aucejo F, Popescu I, Kitago M, Martel G, Ratti F, Aldrighetti L, Poultsides GA, Imaoka Y, Ruzzenente A, Endo I, Gleisner A, Marques HP, Lam V, Hugh T, Bhimani N, Shen F, Pawlik TM. Impact of disparity between imaging and pathological tumor size on cancer-specific prognosis among patients with hepatocellular carcinoma. Eur J Surg Oncol. 2025 Jun; 51(6):109683.
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Thadani S, Wu TC, Wu DTY, Kakajiwala A, Soranno DE, Cortina G, Srivastava R, Gist KM, Menon S. Machine Learning-Based Prediction Model for ICU Mortality After Continuous Renal Replacement Therapy Initiation in Children. Crit Care Explor. 2024 Dec 01; 6(12):e1188.
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Schulick AC, Moore HB, Franco SR, Jiang JG, Edil BH, Schulick RD, Nydam TL, McCarter MD, Del Chiaro M, Gleisner A. Gaining a new angle on pancreas cancer: A pre-operative thrombelastographic parameter predicts recurrence and survival among patients with resected periampullary and pancreatic adenocarcinoma. Am J Surg. 2024 Dec; 238:115820.
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Sohrabi HR, Gavett BE, Weinborn M, Speelman CP, Bucks RS, Martins RN. The McCusker Subjective Cognitive Impairment Inventory (McSCI): a novel measure of perceived cognitive decline. Age Ageing. 2024 Jul 02; 53(7).
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