Uncovering interpretable potential confounders in electronic medical records
Randomized clinical trials are often plagued by selection bias, and expert-selected covariates may insufficiently adjust for confounding factors. Here, the authors develop a framework based on natural language processing to uncover interpretable potential confounders from text.
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-28546-8 |