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Found 2 papers, 2 papers with code
Leveraging text data for causal inference using electronic health records
In studies that rely on data from electronic health records (EHRs), unstructured text data such as clinical progress notes offer a rich source of information about patient characteristics and care that may be missing from structured data.
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
We enhance the precision of these results by developing a predictive model to estimate the match quality of pairs of text documents as a function of our various distance scores.
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