The Food and Drug Administration Biologics Effectiveness and Safety Initiative Facilitates Detection of Vaccine Administrations From Unstructured Data in Medical Records Through Natural Language Processing.

Deady, Matthew; Ezzeldin, Hussein; Cook, Kerry; Billings, Douglas; Pizarro, Jeno; Plotogea, Amalia A; Saunders-Hastings, Patrick; Belov, Artur; Whitaker, Barbee I; Anderson, Steven A

Deady, Matthew; Ezzeldin, Hussein; Cook, Kerry; Billings, Douglas; Pizarro, Jeno; Plotogea, Amalia A; Saunders-Hastings, Patrick; Belov, Artur; Whitaker, Barbee I; Anderson, Steven A.

Afiliação

Deady M; IBM, Washington, DC, United States.
Ezzeldin H; US Food and Drug Administration, Silver Spring, MD, United States.
Cook K; IBM, Washington, DC, United States.
Billings D; IBM, Washington, DC, United States.
Pizarro J; IBM, Washington, DC, United States.
Plotogea AA; Gevity Consulting Inc., Vancouver, BC, Canada.
Saunders-Hastings P; Gevity Consulting Inc., Vancouver, BC, Canada.
Belov A; US Food and Drug Administration, Silver Spring, MD, United States.
Whitaker BI; US Food and Drug Administration, Silver Spring, MD, United States.
Anderson SA; US Food and Drug Administration, Silver Spring, MD, United States.

Front Digit Health ; 3: 777905, 2021.

Article em En | MEDLINE | ID: mdl-35005697

Palavras-chave

clinical notes; electronic health records; natural language processing; vaccine adverse events; vaccine safety

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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