Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1887 1
1897 1
1907 2
1909 1
1915 1
1916 4
1917 6
1918 1
1919 2
1920 2
1921 1
1924 1
1927 1
1930 2
1932 2
1933 2
1935 2
1936 2
1937 1
1939 1
1940 3
1941 4
1942 3
1944 1
1945 1
1946 2
1947 6
1948 6
1949 5
1950 5
1951 1
1952 4
1953 6
1954 5
1955 10
1956 13
1957 5
1958 8
1959 18
1960 13
1961 21
1962 14
1963 17
1964 30
1965 36
1966 55
1967 47
1968 73
1969 89
1970 82
1971 87
1972 100
1973 116
1974 142
1975 501
1976 520
1977 535
1978 661
1979 719
1980 850
1981 911
1982 1053
1983 1297
1984 1481
1985 1627
1986 1768
1987 1980
1988 2206
1989 2575
1990 2716
1991 3115
1992 3390
1993 3674
1994 3822
1995 4154
1996 4534
1997 4470
1998 4989
1999 5375
2000 6261
2001 6991
2002 7725
2003 8609
2004 10568
2005 12641
2006 13398
2007 14225
2008 15315
2009 17300
2010 19048
2011 20838
2012 22575
2013 24464
2014 26624
2015 27950
2016 28786
2017 29821
2018 31625
2019 34121
2020 38963
2021 43597
2022 45102
2023 42886
2024 44670
2025 34616
2026 20

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

624,525 results

Results by year

Filters applied: . Clear all
Page 1
Communication Breakdown - Of Disease Clusters, a Trillium and One Health.
Berke O. Berke O. Vet Ital. 2024 Oct 3;60(4). doi: 10.12834/VetIt.3483.27128.3. Vet Ital. 2024. PMID: 39364581 Free article.
Geographic epidemiology is the study of spatial patterns of population health in a study area. Such spatial patterns (trend, cluster and clustering) require clear definition to be meaningful in science communication. ...The epidemiological triangle of causation (age …
Geographic epidemiology is the study of spatial patterns of population health in a study area. Such spatial patterns (trend, cluster …
Bayesian cluster analysis.
Wade S. Wade S. Philos Trans A Math Phys Eng Sci. 2023 May 15;381(2247):20220149. doi: 10.1098/rsta.2022.0149. Epub 2023 Mar 27. Philos Trans A Math Phys Eng Sci. 2023. PMID: 36970819 Free PMC article. Review.
Bayesian cluster analysis offers substantial benefits over algorithmic approaches by providing not only point estimates but also uncertainty in the clustering structure and patterns within each cluster. An overview of Bayesian cluster analysi …
Bayesian cluster analysis offers substantial benefits over algorithmic approaches by providing not only point estimates but al …
Long COVID is not a uniform syndrome: Evidence from person-level symptom clusters using latent class analysis.
van den Houdt SCM, Slurink IAL, Mertens G. van den Houdt SCM, et al. J Infect Public Health. 2024 Feb;17(2):321-328. doi: 10.1016/j.jiph.2023.12.019. Epub 2023 Dec 29. J Infect Public Health. 2024. PMID: 38183882 Free article.
First, a k-means clustering analysis was performed to investigate overall clustering patterns and identify symptoms that provided meaningful distinctions between clusters. ...Finally, multinominal logistic models were used to identify determinants asso …
First, a k-means clustering analysis was performed to investigate overall clustering patterns and identify symptoms tha …
A multicriteria decision making approach for estimating the number of clusters in a data set.
Peng Y, Zhang Y, Kou G, Shi Y. Peng Y, et al. PLoS One. 2012;7(7):e41713. doi: 10.1371/journal.pone.0041713. Epub 2012 Jul 27. PLoS One. 2012. PMID: 22870181 Free PMC article.
Determining the number of clusters in a data set is an essential yet difficult step in cluster analysis. Since this task involves more than one criterion, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper proposes a multiple …
Determining the number of clusters in a data set is an essential yet difficult step in cluster analysis. Since this tas …
Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R.
Langfelder P, Zhang B, Horvath S. Langfelder P, et al. Bioinformatics. 2008 Mar 1;24(5):719-20. doi: 10.1093/bioinformatics/btm563. Epub 2007 Nov 16. Bioinformatics. 2008. PMID: 18024473
SUMMARY: Hierarchical clustering is a widely used method for detecting clusters in genomic data. Clusters are defined by cutting branches off the dendrogram. ...We present the Dynamic Tree Cut R package that implements novel dynamic branch cutting methods for …
SUMMARY: Hierarchical clustering is a widely used method for detecting clusters in genomic data. Clusters are defined b …
DMCM: a Data-adaptive Mutation Clustering Method to identify cancer-related mutation clusters.
Lu X, Qian X, Li X, Miao Q, Peng S. Lu X, et al. Bioinformatics. 2019 Feb 1;35(3):389-397. doi: 10.1093/bioinformatics/bty624. Bioinformatics. 2019. PMID: 30010784
RESULTS: Here we present a Data-adaptive Mutation Clustering Method (DMCM), in which kernel density estimate (KDE) with a data-adaptive bandwidth is applied to estimate the mutation density, to find variable clusters with different lengths on amino acid sequences. . …
RESULTS: Here we present a Data-adaptive Mutation Clustering Method (DMCM), in which kernel density estimate (KDE) with a data-adapti …
A novel clustering approach to bipartite investor-startup networks.
Carniel T, Halloy J, Dalle JM. Carniel T, et al. PLoS One. 2023 Jan 5;18(1):e0279780. doi: 10.1371/journal.pone.0279780. eCollection 2023. PLoS One. 2023. PMID: 36602981 Free PMC article.
We first validate that investors are clustered in a meaningful manner and present methods of visualizing cluster characteristics. ...Finally, and surprisingly, we report that clusters appear stable even when running the clustering algorithm with all bu …
We first validate that investors are clustered in a meaningful manner and present methods of visualizing cluster characteristi …
Clustering.
McLachlan GJ, Bean RW, Ng SK. McLachlan GJ, et al. Methods Mol Biol. 2008;453:423-39. doi: 10.1007/978-1-60327-429-6_22. Methods Mol Biol. 2008. PMID: 18712317
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with similar behavior across relevant tissue samples (or cell lines). ...Methods such as hierarchical agglomerative clustering, k-means …
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with s …
A mutual neighbor-based clustering method and its medical applications.
Chen J, Zhu X, Liu H. Chen J, et al. Comput Biol Med. 2022 Nov;150:106184. doi: 10.1016/j.compbiomed.2022.106184. Epub 2022 Oct 12. Comput Biol Med. 2022. PMID: 37859282
Clustering analysis has been widely used in various real-world applications. Due to the simplicity of K-means, it has become the most popular clustering analysis technique in reality. ...Besides, it cannot effectively identify manifold clusters. …
Clustering analysis has been widely used in various real-world applications. Due to the simplicity of K-means, it has become t …
Detecting multiple spatial disease clusters: information criterion and scan statistic approach.
Takahashi K, Shimadzu H. Takahashi K, et al. Int J Health Geogr. 2020 Sep 2;19(1):33. doi: 10.1186/s12942-020-00228-y. Int J Health Geogr. 2020. PMID: 32878638 Free PMC article.
Given recent rapid advancements in information technologies, it is required a comprehensive framework that enables simultaneous detection of multiple spatial clusters, whether disease cases are randomly scattered or clustered around specific epicenters on a larger s …
Given recent rapid advancements in information technologies, it is required a comprehensive framework that enables simultaneous detection of …
624,525 results
You have reached the last available page of results. Please see the User Guide for more information.