Article

An Intrinsic and Extrinsic Evaluation of Learned COVID-19 Concepts using Open-Source Word Embedding Sources

2021-01-04

Abstract excerpt

<h4>Introduction</h4> Scientists are developing new computational methods and prediction models to better clinically understand COVID-19 prevalence, treatment efficacy, and patient outcomes. These efforts could be improved by leveraging documented, COVID-19-related symptoms, findings, and disorders from clinical text sources in the electronic health record. Word embeddings can identify terms related to these clini...

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Literature Corpus work: 63e7382b-1fdb-5d23-82df-daed10e04fe2
DOI: 10.1101/2020.12.29.20249005

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