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Disease Clustering

Known as: disease cluster, clusters disease, Disease Clusterings 
National Institutes of Health

Related topics

Related topics

1 relation

Broader (1)

statistical cluster

Papers overview

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2017
2017
Lessons Learned From Implementing an Incident Command System During a Local Multiagency Response to a Legionnaires’ Disease Cluster in Sydney, NSW
Abstract The incident command system (ICS) provides a common structure to control and coordinate an emergency response… Expand
2016
2016
Investigating the spatial distribution of growth anomalies affecting Montipora capitata corals in a 3-dimensional framework.
Diseases have caused significant reductions in coral populations throughout the global ocean. Despite a substantial effort to… Expand
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2015
2015
MultiCons: Multiple Consensus Clustering Method Using Frequent Closed Pattern Mining
Clustering, which aim is to identify groups of similar instances in a dataset, is one of the important tasks in data mining… Expand
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2011
2011
Managerial Cognition and an Application to Disease Clusters
Disease cluster analysis is conducting almost strictly using statistical analysis, and is by nature subjective and inconsistent… Expand
2007
2007
The Richness of Family: Expanding the Family History
14 Family history is a powerful predictor of the development of diseases in fi rst-degree family members. A family history… Expand
2006
2006
Kleinräumige Prävalenzunterschiede von Atemwegserkrankungen bei Kindern : Grenzen der Erkenntnismöglichkeiten einer von Eltern angeregten Studie
OBJECTIVE The aim of our study was to assess the prevalence of respiratory diseases in children living in a rural area in Bavaria… Expand
2006
2006
[Differences in small area prevalence of respiratory diseases in children: challenges of an investigation initiated by parents].
OBJECTIVE The aim of our study was to assess the prevalence of respiratory diseases in children living in a rural area in Bavaria… Expand
2005
2005
A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings
MOTIVATION Clustering is one of the most widely used methods in unsupervised gene expression data analysis. The use of different… Expand
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1998
1998
Exploring Eecient Attribute Prediction in Hierarchical Clustering
This work explores the feasibility of constructing hierarchical clusterings minimizing the expected cost of exploiting these… Expand
1995
1995
Investigation of disease risks in small areas.
  • P. Elliott
  • Occupational and environmental medicine
  • 1995
    • Corpus ID: 29409271
The investigation of disease risks in small areas is complicated by many issues including data quality, the retrospective nature… Expand
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