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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Detalles Bibliográficos
Autores principales: Zhou, Weihong, Eckler, Spencer, Barszczyk, Andrew, Waese-Perlman, Alex, Wang, Yingjie, Gu, Xiaoping, Feng, Zhong-Ping, Peng, Yuzhu, Lee, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944598/
https://www.ncbi.nlm.nih.gov/pubmed/33750311
http://dx.doi.org/10.1186/s12874-021-01242-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944598/
https://www.ncbi.nlm.nih.gov/pubmed/33750311
http://dx.doi.org/10.1186/s12874-021-01242-9

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