 Cluster Analysis
"Cluster Analysis" 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 set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.
| Descriptor ID |
D016000
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| MeSH Number(s) |
E05.318.740.250 N05.715.360.750.200 N06.850.520.830.250
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| Concept/Terms |
Cluster Analysis- Cluster Analysis
- Analyses, Cluster
- Analysis, Cluster
- Cluster Analyses
- Clustering
- Clusterings
Disease Clustering- Disease Clustering
- Clustering, Disease
- Clusterings, Disease
- Disease Clusterings
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Below are MeSH descriptors whose meaning is more general than "Cluster Analysis".
Below are MeSH descriptors whose meaning is more specific than "Cluster Analysis".
This graph shows the total number of publications written about "Cluster Analysis" by people in this website by year, and whether "Cluster Analysis" 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 |
|---|
| 1992 | 0 | 1 | 1 | | 1996 | 0 | 1 | 1 | | 1998 | 0 | 1 | 1 | | 1999 | 1 | 3 | 4 | | 2001 | 0 | 1 | 1 | | 2002 | 0 | 6 | 6 | | 2003 | 1 | 4 | 5 | | 2004 | 0 | 12 | 12 | | 2005 | 0 | 12 | 12 | | 2006 | 0 | 12 | 12 | | 2007 | 0 | 14 | 14 | | 2008 | 0 | 12 | 12 | | 2009 | 1 | 16 | 17 | | 2010 | 0 | 23 | 23 | | 2011 | 2 | 16 | 18 | | 2012 | 1 | 30 | 31 | | 2013 | 0 | 25 | 25 | | 2014 | 1 | 26 | 27 | | 2015 | 1 | 15 | 16 | | 2016 | 1 | 13 | 14 | | 2017 | 2 | 7 | 9 | | 2018 | 0 | 10 | 10 | | 2019 | 0 | 12 | 12 | | 2020 | 0 | 7 | 7 |
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Below are the most recent publications written about "Cluster Analysis" by people in Profiles.
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Grant RW, McCloskey J, Hatfield M, Uratsu C, Ralston JD, Bayliss E, Kennedy CJ. Use of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles. JAMA Netw Open. 2020 12 01; 3(12):e2029068.
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Gribbons KB, Ponte C, Carette S, Craven A, Cuthbertson D, Hoffman GS, Khalidi NA, Koening CL, Langford CA, Maksimowicz-McKinnon K, McAlear CA, Monach PA, Moreland LW, Pagnoux C, Quinn KA, Robson JC, Seo P, Sreih AG, Suppiah R, Warrington KJ, Ytterberg SR, Luqmani R, Watts R, Merkel PA, Grayson PC. Patterns of Arterial Disease in Takayasu Arteritis and Giant Cell Arteritis. Arthritis Care Res (Hoboken). 2020 11; 72(11):1615-1624.
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Cowan HR, Mittal VA, Allen DN, Gold JM, Strauss GP. Heterogeneity of emotional experience in schizophrenia: Trait affect profiles predict clinical presentation and functional outcome. J Abnorm Psychol. 2020 Oct; 129(7):760-767.
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Goel R, Gribbons KB, Carette S, Cuthbertson D, Hoffman GS, Joseph G, Khalidi NA, Koening CL, Kumar S, Langford C, Maksimowicz-McKinnon K, McAlear CA, Monach PA, Moreland LW, Nair A, Pagnoux C, Quinn KA, Ravindran R, Seo P, Sreih AG, Warrington KJ, Ytterberg SR, Merkel PA, Danda D, Grayson PC. Derivation of an angiographically based classification system in Takayasu's arteritis: an observational study from India and North America. Rheumatology (Oxford). 2020 05 01; 59(5):1118-1127.
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Han SA, Jhun BW, Kim SY, Moon SM, Yang B, Kwon OJ, Daley CL, Shin SJ, Koh WJ. miRNA Expression Profiles and Potential as Biomarkers in Nontuberculous Mycobacterial Pulmonary Disease. Sci Rep. 2020 02 21; 10(1):3178.
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Haywood ME, Cocciolo A, Porter KF, Dobrinskikh E, Slavov D, Graw SL, Reece TB, Ambardekar AV, Bristow MR, Mestroni L, Taylor MRG. Transcriptome signature of ventricular arrhythmia in dilated cardiomyopathy reveals increased fibrosis and activated TP53. J Mol Cell Cardiol. 2020 02; 139:124-134.
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Guthman EM, Garcia JD, Ma M, Chu P, Baca SM, Smith KR, Restrepo D, Huntsman MM. Cell-type-specific control of basolateral amygdala neuronal circuits via entorhinal cortex-driven feedforward inhibition. Elife. 2020 Jan 09; 9.
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Castaldi PJ, Boueiz A, Yun J, Estepar RSJ, Ross JC, Washko G, Cho MH, Hersh CP, Kinney GL, Young KA, Regan EA, Lynch DA, Criner GJ, Dy JG, Rennard SI, Casaburi R, Make BJ, Crapo J, Silverman EK, Hokanson JE. Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study. Chest. 2020 05; 157(5):1147-1157.
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Vaughn AE, Studts CR, Powell BJ, Ammerman AS, Trogdon JG, Curran GM, Hales D, Willis E, Ward DS. The impact of basic vs. enhanced Go NAPSACC on child care centers' healthy eating and physical activity practices: protocol for a type 3 hybrid effectiveness-implementation cluster-randomized trial. Implement Sci. 2019 12 05; 14(1):101.
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Kao D, Purohit S, Jhund P. Therapeutic futility and phenotypic heterogeneity in heart failure with preserved ejection fraction: what is the role of bionic learning? Eur J Heart Fail. 2020 01; 22(1):159-161.
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