Data Mining
"Data Mining" 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.
Use of sophisticated analysis tools to sort through, organize, examine, and combine large sets of information.
Descriptor ID |
D057225
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MeSH Number(s) |
L01.313.500.750.280.199 L01.470.625
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Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Data Mining".
Below are MeSH descriptors whose meaning is more specific than "Data Mining".
This graph shows the total number of publications written about "Data Mining" by people in this website by year, and whether "Data Mining" 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 |
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2010 | 2 | 1 | 3 | 2011 | 3 | 3 | 6 | 2012 | 6 | 4 | 10 | 2013 | 4 | 4 | 8 | 2014 | 7 | 2 | 9 | 2015 | 3 | 2 | 5 | 2016 | 5 | 1 | 6 | 2017 | 3 | 1 | 4 | 2018 | 3 | 4 | 7 | 2019 | 4 | 3 | 7 | 2020 | 3 | 3 | 6 | 2021 | 1 | 2 | 3 | 2022 | 0 | 2 | 2 | 2023 | 0 | 1 | 1 | 2024 | 2 | 0 | 2 | 2025 | 1 | 0 | 1 |
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Below are the most recent publications written about "Data Mining" by people in Profiles.
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Damiani T, Jarmusch AK, Aron AT, Petras D, Phelan VV, Zhao HN, Bittremieux W, Acharya DD, Ahmed MMA, Bauermeister A, Bertin MJ, Boudreau PD, Borges RM, Bowen BP, Brown CJ, Chagas FO, Clevenger KD, Correia MSP, Crandall WJ, Cr?semann M, Fahy E, Fiehn O, Garg N, Gerwick WH, Gilbert JR, Globisch D, Gomes PWP, Heuckeroth S, James CA, Jarmusch SA, Kakhkhorov SA, Kang KB, Kessler N, Kersten RD, Kim H, Kirk RD, Kohlbacher O, Kontou EE, Liu K, Lizama-Chamu I, Luu GT, Luzzatto Knaan T, Mannochio-Russo H, Marty MT, Matsuzawa Y, McAvoy AC, McCall LI, Mohamed OG, Nahor O, Neuweger H, Niedermeyer THJ, Nishida K, Northen TR, Overdahl KE, Rainer J, Reher R, Rodriguez E, Sachsenberg TT, Sanchez LM, Schmid R, Stevens C, Subramaniam S, Tian Z, Tripathi A, Tsugawa H, van der Hooft JJJ, Vicini A, Walter A, Weber T, Xiong Q, Xu T, Pluskal T, Dorrestein PC, Wang M. A universal language for finding mass spectrometry data patterns. Nat Methods. 2025 Jun; 22(6):1247-1254.
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Sastry AV, Yuan Y, Poudel S, Rychel K, Yoo R, Lamoureux CR, Li G, Burrows JT, Chauhan S, Haiman ZB, Al Bulushi T, Seif Y, Palsson BO, Zielinski DC. iModulonMiner and PyModulon: Software for unsupervised mining of gene expression compendia. PLoS Comput Biol. 2024 Oct; 20(10):e1012546.
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Yih WK, Duffy J, Su JR, Bazel S, Fireman B, Hurley L, Maro JC, Marquez P, Moro P, Nair N, Nelson J, Smith N, Sundaram M, Vasquez-Benitez G, Weintraub E, Xu S, Shimabukuro T. Tinnitus after COVID-19 vaccination: Findings from the vaccine adverse event reporting system and the vaccine safety datalink. Am J Otolaryngol. 2024 Nov-Dec; 45(6):104448.
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Luedders BA, Cope BJ, Hershberger D, DeVries M, Campbell WS, Campbell J, Roul P, Yang Y, Rojas J, Cannon GW, Sauer BC, Baker JF, Curtis JR, Mikuls TR, England BR. Enhancing the identification of rheumatoid arthritis-associated interstitial lung disease through text mining of chest computerized tomography reports. Semin Arthritis Rheum. 2023 06; 60:152204.
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Yih WK, Daley MF, Duffy J, Fireman B, McClure D, Nelson J, Qian L, Smith N, Vazquez-Benitez G, Weintraub E, Williams JTB, Xu S, Maro JC. A broad assessment of covid-19 vaccine safety using tree-based data-mining in the vaccine safety datalink. Vaccine. 2023 01 16; 41(3):826-835.
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Katherine Yih W, Daley MF, Duffy J, Fireman B, McClure D, Nelson J, Qian L, Smith N, Vazquez-Benitez G, Weintraub E, Williams JTB, Xu S, Maro JC. Tree-based data mining for safety assessment of first COVID-19 booster doses in the Vaccine Safety Datalink. Vaccine. 2023 01 09; 41(2):460-466.
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Rodrigo H, Beukes EW, Andersson G, Manchaiah V. Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach. J Med Internet Res. 2021 11 02; 23(11):e28999.
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Sullivan KD, Galbraith MD, Kinning KT, Bartsch KW, Levinsky NC, Araya P, Smith KP, Granrath RE, Shaw JR, Baxter RM, Jordan KR, Russell SA, Dzieciatkowska ME, Reisz JA, Gamboni F, Cendali FI, Ghosh T, Monte AA, Bennett TD, Miller MG, Hsieh EW, D'Alessandro A, Hansen KC, Espinosa JM. The COVIDome Explorer researcher portal. Cell Rep. 2021 08 17; 36(7):109527.
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Velagapudi L, Mouchtouris N, Baldassari MP, Nauheim D, Khanna O, Saiegh FA, Herial N, Gooch MR, Tjoumakaris S, Rosenwasser RH, Jabbour P. Discrepancies in Stroke Distribution and Dataset Origin in Machine Learning for Stroke. J Stroke Cerebrovasc Dis. 2021 Jul; 30(7):105832.
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Park SH, Mazumder NR, Mehrotra S, Ho B, Kaplan B, Ladner DP. Artificial Intelligence-related Literature in Transplantation: A Practical Guide. Transplantation. 2021 04 01; 105(4):704-708.
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