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Natural Language Processing for Improved COVID-19 Characterization: Evidence from More than 350,000 Patients in a Large Integrated Health Care System

2022-04-05

Abstract excerpt

Background: Understanding symptoms of SARS-CoV-2 infection in large, community-based populations can improve clinical screening and COVID-19 surveillance. Most prior studies examining symptoms of COVID-19 are survey-based, biased towards hospitalized patients, or rely on structured data from electronic medical records (EMR). We sought to assess whether natural language processing (NLP) of unstructured text from EM...

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Literature Corpus work
4b18835a-b088-5116-bf66-66cc78a6cbe7
DOI
10.2139/ssrn.4075842
Open publication

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Natural Language Processing for Improved COVID-19 Characterization: Evidence from More than 350,000 Patients in a Large Integrated Health Care SystemDOI 10.2139/ssrn.4075842
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