Article ; Online: Uncovering interpretable potential confounders in electronic medical records
Nature Communications, Vol 13, Iss 1, Pp 1-
2022 Volume 14
Abstract: 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 ... ...
Abstract | 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. |
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Keywords | Science ; Q |
Language | English |
Publishing date | 2022-02-01T00:00:00Z |
Publisher | Nature Portfolio |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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