CQL4NLP: Development and Integration of FHIR NLP Extensions in Clinical Quality Language for EHR-driven Phenotyping.

Wen, Andrew; Rasmussen, Luke V; Stone, Daniel; Liu, Sijia; Kiefer, Rick; Adekkanattu, Prakash; Brandt, Pascal S; Pacheco, Jennifer A; Luo, Yuan; Wang, Fei; Pathak, Jyotishman; Liu, Hongfang; Jiang, Guoqian

Wen, Andrew; Rasmussen, Luke V; Stone, Daniel; Liu, Sijia; Kiefer, Rick; Adekkanattu, Prakash; Brandt, Pascal S; Pacheco, Jennifer A; Luo, Yuan; Wang, Fei; Pathak, Jyotishman; Liu, Hongfang; Jiang, Guoqian.

Afiliação

Wen A; Mayo Clinic, Rochester, MN.
Rasmussen LV; Northwestern University, Chicago, IL.
Stone D; Mayo Clinic, Rochester, MN.
Liu S; Mayo Clinic, Rochester, MN.
Kiefer R; Mayo Clinic, Rochester, MN.
Adekkanattu P; Weill Cornell Medicine, New York, NY.
Brandt PS; University of Washington, Seattle, WA.
Pacheco JA; Northwestern University, Chicago, IL.
Luo Y; Northwestern University, Chicago, IL.
Wang F; Weill Cornell Medicine, New York, NY.
Pathak J; Weill Cornell Medicine, New York, NY.
Liu H; Mayo Clinic, Rochester, MN.
Jiang G; Mayo Clinic, Rochester, MN.

AMIA Jt Summits Transl Sci Proc ; 2021: 624-633, 2021.

Article em En | MEDLINE | ID: mdl-34457178

Assuntos

Registros Eletrônicos de Saúde; Processamento de Linguagem Natural; Algoritmos; Comorbidade; Humanos; Idioma

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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