Using machine learning to impute legal status of immigrants in the National Health Interview Survey

We describe a novel machine learning method of imputing legal status for immigrants using nationally representative survey data from the Survey of Income and Program Participation (SIPP) and the National Health Interview Survey (NHIS). K-nearest Neighbor (KNN) classifier and Random Forest (RF) Algor...

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Detalles Bibliográficos
Autores principales: Ruhnke, Simon A., Wilson, Fernando A., Stimpson, Jim P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490167/
https://www.ncbi.nlm.nih.gov/pubmed/36160111
http://dx.doi.org/10.1016/j.mex.2022.101848

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490167/
https://www.ncbi.nlm.nih.gov/pubmed/36160111
http://dx.doi.org/10.1016/j.mex.2022.101848

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