Cargando…
Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting
Despite the prominent use of complex survey data and the growing popularity of machine learning methods in epidemiologic research, few machine learning software implementations offer options for handling complex samples. A major challenge impeding the broader incorporation of machine learning into e...
Autores principales: | MacNell, Nathaniel, Feinstein, Lydia, Wilkerson, Jesse, Salo, Pӓivi M., Molsberry, Samantha A., Fessler, Michael B., Thorne, Peter S., Motsinger-Reif, Alison A., Zeldin, Darryl C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838837/ https://www.ncbi.nlm.nih.gov/pubmed/36638125 http://dx.doi.org/10.1371/journal.pone.0280387 |
Ejemplares similares
-
Endotoxin clustering with allergens in house dust and asthma outcomes in a U.S. national study
por: Mendy, Angelico, et al.
Publicado: (2020) -
Serum antioxidant vitamins and respiratory morbidity and mortality: a pooled analysis
por: Salo, Paivi M., et al.
Publicado: (2022) -
House Dust Endotoxin Association with Chronic Bronchitis and Emphysema
por: Mendy, Angelico, et al.
Publicado: (2018) -
House Dust Endotoxin and Peripheral Leukocyte Counts: Results from Two Large Epidemiologic Studies
por: Fessler, Michael B., et al.
Publicado: (2017) -
Hands-On Gradient Boosting with XGBoost and scikit-learn
por: Wade, Corey, et al.
Publicado: (2020)