 Sensitivity and Specificity
"Sensitivity and Specificity" 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.
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)
| Descriptor ID |
D012680
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| MeSH Number(s) |
E05.318.740.872 E05.318.780.800 G17.800 N05.715.360.750.725 N05.715.360.780.700 N06.850.520.445.800 N06.850.520.830.872
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Sensitivity and Specificity".
Below are MeSH descriptors whose meaning is more specific than "Sensitivity and Specificity".
This graph shows the total number of publications written about "Sensitivity and Specificity" by people in this website by year, and whether "Sensitivity and Specificity" 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 |
|---|
| 1990 | 0 | 2 | 2 | | 1991 | 0 | 2 | 2 | | 1992 | 0 | 8 | 8 | | 1993 | 0 | 4 | 4 | | 1994 | 0 | 6 | 6 | | 1995 | 0 | 12 | 12 | | 1996 | 0 | 17 | 17 | | 1997 | 0 | 12 | 12 | | 1998 | 0 | 23 | 23 | | 1999 | 0 | 13 | 13 | | 2000 | 0 | 14 | 14 | | 2001 | 0 | 17 | 17 | | 2002 | 0 | 34 | 34 | | 2003 | 0 | 32 | 32 | | 2004 | 0 | 29 | 29 | | 2005 | 0 | 38 | 38 | | 2006 | 0 | 44 | 44 | | 2007 | 0 | 43 | 43 | | 2008 | 0 | 53 | 53 | | 2009 | 0 | 34 | 34 | | 2010 | 0 | 25 | 25 | | 2011 | 0 | 27 | 27 | | 2012 | 0 | 51 | 51 | | 2013 | 0 | 24 | 24 | | 2014 | 0 | 37 | 37 | | 2015 | 0 | 27 | 27 | | 2016 | 0 | 8 | 8 | | 2017 | 0 | 8 | 8 | | 2018 | 0 | 1 | 1 | | 2019 | 0 | 2 | 2 |
To return to the timeline, click here.
Below are the most recent publications written about "Sensitivity and Specificity" by people in Profiles.
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Viswanath SE, Chirra PV, Yim MC, Rofsky NM, Purysko AS, Rosen MA, Bloch BN, Madabhushi A. Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. BMC Med Imaging. 2019 02 28; 19(1):22.
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Santos ARRD, Serufo ÂV, Figueiredo MM, Godoi LC, Vitório JG, Marcelino AP, Avelar DM, Rodrigues FTG, Machado-Coelho GLL, Medeiros FAC, Jerônimo SMB, Oliveira EJ, Nascimento FC, Teixeira SMR, Gazzinelli RT, Nagem RAP, Fernandes AP. Evaluation of three recombinant proteins for the development of ELISA and immunochromatographic tests for visceral leishmaniasis serodiagnosis. Mem Inst Oswaldo Cruz. 2019 Feb 04; 114:e180405.
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Lv J, Jiao W, Guo H, Liu P, Wang R, Zhang L, Zeng Q, Hu X, Bao Z, Wang S. HD-Marker: a highly multiplexed and flexible approach for targeted genotyping of more than 10,000 genes in a single-tube assay. Genome Res. 2018 12; 28(12):1919-1930.
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Eladawi N, Elmogy MM, Ghazal M, Helmy O, Aboelfetouh A, Riad A, Schaal S, El-Baz A. Classification of retinal diseases based on OCT Images. Front Biosci (Landmark Ed). 2018 Jan 01; 23:247-264.
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Arguello D, Andersen K, Morton A, Freedson PS, Intille SS, John D. Validity of proximity sensor-based wear-time detection using the ActiGraph GT9X. J Sports Sci. 2018 Jul; 36(13):1502-1507.
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Partridge SC, Amornsiripanitch N. DWI in the Assessment of Breast Lesions. Top Magn Reson Imaging. 2017 Oct; 26(5):201-209.
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Alaia EF, Benedick A, Obuchowski NA, Polster JM, Beltran LS, Schils J, Garwood E, Burke CJ, Chang IJ, Gyftopoulos S, Subhas N. Comparison of a fast 5-min knee MRI protocol with a standard knee MRI protocol: a multi-institutional multi-reader study. Skeletal Radiol. 2018 Jan; 47(1):107-116.
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Tseng YJ, Steinberg G, Fox KP, Armstrong J, Mandl KD. Antihyperglycemic Medications: A Claims-Based Estimate of First-line Therapy Use Prior to Initialization of Second-line Medications. Diabetes Care. 2017 11; 40(11):1500-1505.
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Nemec U, Heidinger BH, Anderson KR, Westmore MS, VanderLaan PA, Bankier AA. Software-based risk stratification of pulmonary adenocarcinomas manifesting as pure ground glass nodules on computed tomography. Eur Radiol. 2018 Jan; 28(1):235-242.
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Li Y, Matzka L, Maranda L, Weber D. Anion gap can differentiate between psychogenic and epileptic seizures in the emergency setting. Epilepsia. 2017 09; 58(9):e132-e135.
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