Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing.

Meystre, Stéphane M; Heider, Paul M; Kim, Youngjun; Davis, Matthew; Obeid, Jihad; Madory, James; Alekseyenko, Alexander V

Meystre, Stéphane M; Heider, Paul M; Kim, Youngjun; Davis, Matthew; Obeid, Jihad; Madory, James; Alekseyenko, Alexander V.

Afiliação

Meystre SM; Biomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Heider PM; Biomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Kim Y; Biomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Davis M; Information Solutions, Medical University of South Carolina, Charleston, South Carolina, USA.
Obeid J; Biomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Madory J; Department of Pathology, Medical University of South Carolina, Charleston, South Carolina, USA.
Alekseyenko AV; Biomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.

J Am Med Inform Assoc ; 29(1): 12-21, 2021 12 28.

Article em En | MEDLINE | ID: mdl-34415311

Assuntos

COVID-19; Teste para COVID-19; Humanos; Processamento de Linguagem Natural; Pandemias; SARS-CoV-2

Palavras-chave

data science [L01.305]; machine learning [g17.035.250.500]; medical informatics [L01.313.500]; natural language processing (nlp) [L01.224.050.375.580]

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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