 Algorithms
"Algorithms" 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 procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
| Descriptor ID |
D000465
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| MeSH Number(s) |
G17.035 L01.224.050
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Algorithms".
Below are MeSH descriptors whose meaning is more specific than "Algorithms".
This graph shows the total number of publications written about "Algorithms" by people in this website by year, and whether "Algorithms" 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 |
|---|
| 1993 | 0 | 1 | 1 | | 1995 | 0 | 2 | 2 | | 1996 | 0 | 3 | 3 | | 1997 | 1 | 0 | 1 | | 1998 | 0 | 2 | 2 | | 1999 | 0 | 2 | 2 | | 2000 | 0 | 4 | 4 | | 2001 | 1 | 5 | 6 | | 2002 | 1 | 4 | 5 | | 2003 | 2 | 4 | 6 | | 2004 | 2 | 7 | 9 | | 2005 | 4 | 14 | 18 | | 2006 | 2 | 10 | 12 | | 2007 | 1 | 5 | 6 | | 2008 | 5 | 11 | 16 | | 2009 | 10 | 13 | 23 | | 2010 | 4 | 15 | 19 | | 2011 | 8 | 24 | 32 | | 2012 | 5 | 20 | 25 | | 2013 | 6 | 17 | 23 | | 2014 | 7 | 15 | 22 | | 2015 | 3 | 22 | 25 | | 2016 | 5 | 15 | 20 | | 2017 | 5 | 13 | 18 | | 2018 | 2 | 12 | 14 | | 2019 | 5 | 15 | 20 | | 2020 | 8 | 16 | 24 | | 2021 | 0 | 3 | 3 |
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Below are the most recent publications written about "Algorithms" by people in Profiles.
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Young MD, Mitchell TJ, Custers L, Margaritis T, Morales-Rodriguez F, Kwakwa K, Khabirova E, Kildisiute G, Oliver TRW, de Krijger RR, van den Heuvel-Eibrink MM, Comitani F, Piapi A, Bugallo-Blanco E, Thevanesan C, Burke C, Prigmore E, Ambridge K, Roberts K, Braga FAV, Coorens THH, Del Valle I, Wilbrey-Clark A, Mamanova L, Stewart GD, Gnanapragasam VJ, Rampling D, Sebire N, Coleman N, Hook L, Warren A, Haniffa M, Kool M, Pfister SM, Achermann JC, He X, Barker RA, Shlien A, Bayraktar OA, Teichmann SA, Holstege FC, Meyer KB, Drost J, Straathof K, Behjati S. Single cell derived mRNA signals across human kidney tumors. Nat Commun. 2021 06 23; 12(1):3896.
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Brooks JD, Arneja J, Fu L, Saxena FE, Tu K, Pinzaru VB, Anagnostou E, Nylen K, Saunders NR, Lu H, McLaughlin J, Bronskill SE. Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario. Autism Res. 2021 05; 14(5):1037-1045.
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Alzubaidi MA, Otoom M, Otoum N, Etoom Y, Banihani R. A novel computational method for assigning weights of importance to symptoms of COVID-19 patients. Artif Intell Med. 2021 02; 112:102018.
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Das N, Verstraete K, Stanojevic S, Topalovic M, Aerts JM, Janssens W. Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria. Eur Respir J. 2020 12; 56(6).
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Wong SM, Arski ON, Workewych AM, Donner E, Ochi A, Otsubo H, Snead OC, Ibrahim GM. Detection of high-frequency oscillations in electroencephalography: A scoping review and an adaptable open-source framework. Seizure. 2021 Jan; 84:23-33.
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Baranger J, Mertens L, Villemain O. Blood Flow Imaging with Ultrafast Doppler. J Vis Exp. 2020 10 14; (164).
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Rios JD, Shah PS, Beltempo M, Louis D, Mukerji A, Premji S, Shah V, Lee SK, Pechlivanoglou P. Costs of Neonatal Intensive Care for Canadian Infants with Preterm Birth. J Pediatr. 2021 02; 229:161-167.e12.
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Barth D, Nemec RM, Cho DD, Slomer A, Cojocari E, Kim K, McLean LD, Patriquin CJ. The practical integration of a hybrid model of ultrasound-guided peripheral venous access in a large apheresis center. J Clin Apher. 2020 Aug; 35(4):328-334.
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Duan R, Luo C, Schuemie MJ, Tong J, Liang CJ, Chang HH, Boland MR, Bian J, Xu H, Holmes JH, Forrest CB, Morton SC, Berlin JA, Moore JH, Mahoney KB, Chen Y. Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. J Am Med Inform Assoc. 2020 07 01; 27(7):1028-1036.
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Deniffel D, Abraham N, Namdar K, Dong X, Salinas E, Milot L, Khalvati F, Haider MA. Using decision curve analysis to benchmark performance of a magnetic resonance imaging-based deep learning model for prostate cancer risk assessment. Eur Radiol. 2020 Dec; 30(12):6867-6876.
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