Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure.

Papez, Vaclav; Moinat, Maxim; Payralbe, Stefan; Asselbergs, Folkert W; Lumbers, R Thomas; Hemingway, Harry; Dobson, Richard; Denaxas, Spiros

Papez, Vaclav; Moinat, Maxim; Payralbe, Stefan; Asselbergs, Folkert W; Lumbers, R Thomas; Hemingway, Harry; Dobson, Richard; Denaxas, Spiros.

Afiliación

Papez V; Institute of Health Informatics, University College London, London, UK.
Moinat M; Health Data Research UK, London, UK.
Payralbe S; The Hyve, Utrecht, Netherlands.
Asselbergs FW; The Hyve, Utrecht, Netherlands.
Lumbers RT; Institute of Health Informatics, University College London, London, UK.
Hemingway H; Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Dobson R; Institute of Health Informatics, University College London, London, UK.
Denaxas S; Health Data Research UK, London, UK.

JAMIA Open ; 4(3): ooab001, 2021 Jul.

Article en En | MEDLINE | ID: mdl-34514354

Palabras clave

EHR; OMOP; algorithms; heart failure; phenotyping

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JAMIA Open Año: 2021 Tipo del documento: Article