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Article

Selective prediction for extracting unstructured clinical data

2022-11-18

Abstract excerpt

Electronic health records represent a large data source for outcomes research, but the majority of EHR data is unstructured (e.g. free text of clinical notes) and not conducive to computational methods. While there are currently approaches to handle unstructured data, such as manual abstraction, structured proxy variables, and model-assisted abstraction, these methods are time-consuming, not scalable, and require...

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Identifiers and source

Literature Corpus work
37450b8b-5b7d-5992-a67b-030c74108925
DOI
10.1101/2022.11.15.22282368
Open publication

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Selective prediction for extracting unstructured clinical dataDOI 10.1101/2022.11.15.22282368
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