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Waist circumference prediction for epidemiological research using gradient boosted trees
BACKGROUND: Waist circumference is becoming recognized as a useful predictor of health risks in clinical research. However, clinical datasets tend to lack this measurement and self-reported values tend to be inaccurate. Predicting waist circumference from standard physical features could be a viable...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7944598/ https://ncbi.nlm.nih.gov/pubmed/33750311 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-021-01242-9 |
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