ONKI3 | Medical Subject Headings

The ONKI is provided as a part of the ONKI Living Lab - an open lab for testing the latest semantic web technologies in practice, with real users like you. Currently, over 10 000 people are using ONKI each month.

We hope you like the ONKI service and enjoy using it for your purposes!

If you encounter any problems or have improvement ideas, please contact the ONKI team. We are also very much interested in your success stories in using ONKI - please share your experiences!

The ONKI Team

Jouni Tuominen, Living Lab contact person, APIs, widgets, publishing of ontologies, etc.
Eero Hyvönen, professor, head of research group

Former members: Kim Viljanen, Rami Alatalo.

Building the future of the Semantic Web and beyond.

SeCo's homepage
For the latest semantic news, follow us on Twitter and fan us on Facebook!

How can we help you?

Live presentations about ONKI: what it is? how to use it?
Support for creating and publishing ontologies.
Online technical support for using ONKI.
Co-operation in projects.
And more, please ask.

suomeksi på svenska in English

The way property values are displayed: value/row values side by side

The way concept relations are shown: separately in hierarchy

Cluster Analysis

Loading results...


Hierarchy:	Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Cluster Analysis 20 coordinate concepts 2 subordinate concepts ∟ Small-Area Analysis \| ∟ Space-Time Clustering ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Cluster Analysis 20 coordinate concepts 2 subordinate concepts ∟ Small-Area Analysis \| ∟ Space-Time Clustering ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Cluster Analysis 20 coordinate concepts 2 subordinate concepts ∟ Small-Area Analysis \| ∟ Space-Time Clustering ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Cluster Analysis 20 coordinate concepts 2 subordinate concepts ∟ Small-Area Analysis \| ∟ Space-Time Clustering ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Statistics ∟ Cluster Analysis 20 coordinate concepts 2 subordinate concepts ∟ Small-Area Analysis \| ∟ Space-Time Clustering ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Natural Sciences ∟ Mathematics ∟ Statistics ∟ Cluster Analysis 20 coordinate concepts 2 subordinate concepts ∟ Small-Area Analysis \| ∟ Space-Time Clustering ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Cluster Analysis 20 coordinate concepts 2 subordinate concepts ∟ Small-Area Analysis \| ∟ Space-Time Clustering ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis X
Broader terms:	Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Cluster Analysis Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Cluster Analysis Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Cluster Analysis Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Cluster Analysis Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Statistics ∟ Cluster Analysis Medical Subject Headings (MeSH) ∟ Natural Sciences ∟ Mathematics ∟ Statistics ∟ Cluster Analysis Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Cluster Analysis Statistics > Epidemiologic Methods > Public Health > Environment and Public Health > Medical Subject Headings (MeSH) Statistics > Health Care Evaluation Mechanisms > Quality of Health Care > Health Care Quality, Access, and Evaluation > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Public Health > Specialties, Medical > Medicine > Health Occupations > Medical Subject Headings (MeSH) Statistics > Health Care Evaluation Mechanisms > Quality of Health Care > Health Services Administration > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Investigative Techniques > Medical Subject Headings (MeSH) Statistics > Mathematics > Natural Sciences > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Public Health > Health > Population Characteristics > Medical Subject Headings (MeSH) X
Narrower terms:	Small-Area Analysis \| Space-Time Clustering X
Annotation:	IM GEN only; coord NIM with specific disease or other concept (IM); no qualif X
History note:	Statistics (1966-1989)X
historyNote*:	90; CLUSTERING was see SPACE-TIME CLUSTERING 1978-89 X
onlineNote*:	use SPACE-TIME CLUSTERING to search CLUSTERING 1978-89 X
publicMeSHNote*:	90; CLUSTERING was see SPACE-TIME CLUSTERING 1978-89 X
Scope note:	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. X
activeMeSHYear*:	1995 \| 1996 \| 1997 \| 1998 \| 1999 \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007X
dateCreated*:	1989-05-25X
dateEstablished*:	1990-01-01X
dateRevised*:	1994-04-11X
recordAuthorizer*:	PLSX
recordMaintainer*:	TGCX
recordOriginator*:	PLSX
Type:	Concept X
Coordinate terms:	Actuarial Analysis \| Analysis of Variance \| Area Under Curve \| Biometry \| Confidence Intervals \| Data Interpretation, Statistical \| Discriminant Analysis \| Factor Analysis, Statistical \| Matched-Pair Analysis \| Models, Statistical \| Monte Carlo Method \| Principal Component Analysis \| Probability \| Regression Analysis \| ROC Curve \| Sensitivity and Specificity \| Statistical Distributions \| Statistics, Nonparametric \| Stochastic Processes \| Survival Analysis X
URI:	X
Labels and equivalent concepts:	Ryväsanalyysi (fi) Klusterianalyysi (fi, replaced) Klusteranalys (sv) Clustering (en, replaced) X
Share:	X