Uncovering interpretable potential confounders in electronic medical records

Randomized clinical trials (RCT) are the gold standard for informing treatment decisions. Observational studies are often plagued by selection bias, and expert-selected covariates may insufficiently adjust for confounding. We explore how unstructured clinical text can be used to reduce selection bia...

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Detalles Bibliográficos
Autores principales: Zeng, Jiaming, Gensheimer, Michael F., Rubin, Daniel L., Athey, Susan, Shachter, Ross D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866497/
https://www.ncbi.nlm.nih.gov/pubmed/35197467
http://dx.doi.org/10.1038/s41467-022-28546-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866497/
https://www.ncbi.nlm.nih.gov/pubmed/35197467
http://dx.doi.org/10.1038/s41467-022-28546-8

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