Cargando…
Development and validation of a prediction equation for body fat percentage from measured BMI: a supervised machine learning approach
Body mass index is a widely used but poor predictor of adiposity in populations with excessive fat-free mass. Rigorous predictive models validated specifically in a nationally representative sample of the US population and that could be used for calibration purposes are needed. The objective of this...
Autores principales: | Xu, Shiming, Nianogo, Roch A., Jaga, Seema, Arah, Onyebuchi A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192430/ https://www.ncbi.nlm.nih.gov/pubmed/37198237 http://dx.doi.org/10.1038/s41598-023-33914-5 |
Ejemplares similares
-
Forecasting Obesity and Type 2 Diabetes Incidence and Burden: The ViLA-Obesity Simulation Model
por: Nianogo, Roch A., et al.
Publicado: (2022) -
G-computation of average treatment effects on the treated and the untreated
por: Wang, Aolin, et al.
Publicado: (2017) -
Associations between self-perception of weight, food choice intentions, and consumer response to calorie information: a retrospective investigation of public health center clients in Los Angeles County before the implementation of menu-labeling regulation
por: Nianogo, Roch A., et al.
Publicado: (2016) -
Development of an Easy-to-Use Prediction Equation for Body Fat Percentage Based on BMI in Overweight and Obese Lebanese Adults
por: Itani, Leila, et al.
Publicado: (2020) -
211 Using team science to support outbreak management in a large urban region during the COVID-19 pandemic
por: Kuo, Tony, et al.
Publicado: (2022)