Applying Data Envelopment Analysis to Preventive Medicine: A Novel Method for Constructing a Personalized Risk Model of Obesity
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Summary
It is possible to use DEA to predict environmentally driven obesity, and thus to establish a well-fitted model for risk of obesity.
- Type
- dissertation
- Published
- 2015-05-14
- Cited by
- 11
- References
- 40
- Access
- Open access
- OpenAlex
- https://openalex.org/W25973987
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17407206
Keywords
Psychology, Social psychology, Applied psychology, Marketing, Cognitive psychology
References
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- Genes, environment and the value of prospective cohort studies
- Self-administered diet history questionnaire developed for health education: a relative validation of the test-version by comparison with 3-day diet record in women.
- Data Envelopment Analysis (DEA)
- [Sugar-sweetened beverages and genetic risk of obesity].
- DNA methylation and body-mass index: a genome-wide analysis.
- Effect of physical activity and nutrition on bone mineral density in young Japanese women
Cited by
- Estimating efficiency of Directive 2011/24/EU cross-border healthcare in member states.
- The Efficiency Analysis of National R&D Planning for the Field of Precision Medicine in Korea
- Management Performance and Medical Resource Productivity of Anesthesia and Surgery
- Use of DEA to identify urban geographical zones with special difficulty for freight deliveries
- Efficiency score from data envelopment analysis can predict the future onset of hypertension and dyslipidemia: A cohort study
- Multivariate boundary regression models
- Implementing knowledge discovery in enhancing university student services portfolio management in higher education institutions
- Is the Efficiency Score an Indicator for Incident Hypertension in the Community Population of Western China?
- Mining crime instance records of Philippine National Police District Vi Province of Cavite , Philippines : An Exploratory Study to Enhance Crime Prevention Programs
- Evaluation of Medical Value for Contributes to Medical Advancement
- Genetic Risk Scores for Obesity and the Effectiveness of a Diet and Exercise Intervention Program: A Historical Cohort Study
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