Novel subgroups of obesity and their association with outcomes: a data-driven cluster analysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Novel subgroups of obesity and their association with outcomes: a data-driven cluster analysis ; volume:24 ; number:1 ; day:9 ; month:1 ; year:2024 ; pages:1-11 ; date:12.2024
BMC public health ; 24, Heft 1 (9.1.2024), 1-11, 12.2024
- Creator
-
Takeshita, Saki
Nishioka, Yuichi
Tamaki, Yuko
Kamitani, Fumika
Mohri, Takako
Nakajima, Hiroki
Kurematsu, Yukako
Okada, Sadanori
Myojin, Tomoya
Noda, Tatsuya
Imamura, Tomoaki
Takahashi, Yutaka
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12889-024-17648-1
- URN
-
urn:nbn:de:101:1-2024032121262751475808
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:54 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Takeshita, Saki
- Nishioka, Yuichi
- Tamaki, Yuko
- Kamitani, Fumika
- Mohri, Takako
- Nakajima, Hiroki
- Kurematsu, Yukako
- Okada, Sadanori
- Myojin, Tomoya
- Noda, Tatsuya
- Imamura, Tomoaki
- Takahashi, Yutaka
- SpringerLink (Online service)
Other Objects (12)
Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Subgroups of adult-onset diabetes: a data-driven cluster analysis in a Ghanaian population
Data-driven earthquake focal mechanism cluster analysis
Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
A data-driven typology of asthma medication adherence using cluster analysis
Trajectories of clinical characteristics, complications and treatment choices in data-driven subgroups of type 2 diabetes
Data-driven Ensemble Visualization
Data-driven Disease Surveillance
Data-driven inventory optimization
Data-driven Structured Realization
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform
Obesogenic diet and metabolic syndrome among adolescents in India: data-driven cluster analysis
Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Subgroups of adult-onset diabetes: a data-driven cluster analysis in a Ghanaian population
Data-driven earthquake focal mechanism cluster analysis
Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
A data-driven typology of asthma medication adherence using cluster analysis
Trajectories of clinical characteristics, complications and treatment choices in data-driven subgroups of type 2 diabetes
Data-driven Ensemble Visualization
Data-driven Disease Surveillance
Data-driven inventory optimization
Data-driven Structured Realization
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform
Obesogenic diet and metabolic syndrome among adolescents in India: data-driven cluster analysis
Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Subgroups of adult-onset diabetes: a data-driven cluster analysis in a Ghanaian population
Data-driven earthquake focal mechanism cluster analysis
Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
A data-driven typology of asthma medication adherence using cluster analysis
Trajectories of clinical characteristics, complications and treatment choices in data-driven subgroups of type 2 diabetes
Data-driven Ensemble Visualization
Data-driven Disease Surveillance
Data-driven inventory optimization
Data-driven Structured Realization
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform