 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) |
L01.470.625 L01.700.508.280.199
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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 |
|---|
| 2009 | 0 | 1 | 1 | | 2010 | 0 | 2 | 2 | | 2011 | 0 | 2 | 2 | | 2012 | 3 | 1 | 4 | | 2013 | 2 | 0 | 2 | | 2014 | 2 | 2 | 4 | | 2015 | 1 | 1 | 2 | | 2016 | 4 | 1 | 5 | | 2017 | 3 | 2 | 5 | | 2018 | 0 | 3 | 3 | | 2019 | 2 | 1 | 3 | | 2020 | 1 | 1 | 2 |
To return to the timeline, click here.
Below are the most recent publications written about "Data Mining" by people in Profiles.
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Sajanti A, Lyne SB, Girard R, Frantzén J, Rantamäki T, Heino I, Cao Y, Diniz C, Umemori J, Li Y, Takala R, Posti JP, Roine S, Koskimäki F, Rahi M, Rinne J, Castrén E, Koskimäki J. A comprehensive p75 neurotrophin receptor gene network and pathway analyses identifying new target genes. Sci Rep. 2020 09 11; 10(1):14984.
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Pletcher MJ, Fontil V, Carton T, Shaw KM, Smith M, Choi S, Todd J, Chamberlain AM, O'Brien EC, Faulkner M, Maeztu C, Wozniak G, Rakotz M, Shay CM, Cooper-DeHoff RM. The PCORnet Blood Pressure Control Laboratory: A Platform for Surveillance and Efficient Trials. Circ Cardiovasc Qual Outcomes. 2020 03; 13(3):e006115.
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Laitman Y, Friebel TM, Yannoukakos D, Fostira F, Konstantopoulou I, Figlioli G, Bonanni B, Manoukian S, Zuradelli M, Tondini C, Pasini B, Peterlongo P, Plaseska-Karanfilska D, Jakimovska M, Majidzadeh K, Zarinfam S, Loizidou MA, Hadjisavvas A, Michailidou K, Kyriacou K, Behar DM, Molho RB, Ganz P, James P, Parsons MT, Sallam A, Olopade OI, Seth A, Chenevix-Trench G, Leslie G, McGuffog L, Marafie MJ, Megarbane A, Al-Mulla F, Rebbeck TR, Friedman E. The spectrum of BRCA1 and BRCA2 pathogenic sequence variants in Middle Eastern, North African, and South European countries. Hum Mutat. 2019 11; 40(11):e1-e23.
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Garg R, Oh E, Naidech A, Kording K, Prabhakaran S. Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing. J Stroke Cerebrovasc Dis. 2019 Jul; 28(7):2045-2051.
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Kopperud BT, Lidgard S, Liow LH. Text-mined fossil biodiversity dynamics using machine learning. Proc Biol Sci. 2019 04 24; 286(1901):20190022.
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Patel P, Nigam N, Sengupta N. Resumption of Warfarin After Hospitalization for Lower Gastrointestinal Bleeding and Mortality Benefits. J Clin Gastroenterol. 2018 07; 52(6):545-550.
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Giger ML. Machine Learning in Medical Imaging. J Am Coll Radiol. 2018 03; 15(3 Pt B):512-520.
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Burke TA, Jacobucci R, Ammerman BA, Piccirillo M, McCloskey MS, Heimberg RG, Alloy LB. Identifying the relative importance of non-suicidal self-injury features in classifying suicidal ideation, plans, and behavior using exploratory data mining. Psychiatry Res. 2018 04; 262:175-183.
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Chen Y, Kho AN, Liebovitz D, Ivory C, Osmundson S, Bian J, Malin BA. Learning bundled care opportunities from electronic medical records. J Biomed Inform. 2018 01; 77:1-10.
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Kurnit KC, Bailey AM, Zeng J, Johnson AM, Shufean MA, Brusco L, Litzenburger BC, Sánchez NS, Khotskaya YB, Holla V, Simpson A, Mills GB, Mendelsohn J, Bernstam E, Shaw K, Meric-Bernstam F. "Personalized Cancer Therapy": A Publicly Available Precision Oncology Resource. Cancer Res. 2017 11 01; 77(21):e123-e126.
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