Ascertaining Framingham heart failure phenotype from inpatient electronic health record data using natural language processing: a multicentre Atherosclerosis Risk in Communities (ARIC) validation study

OBJECTIVES: Using free-text clinical notes and reports from hospitalised patients, determine the performance of natural language processing (NLP) ascertainment of Framingham heart failure (HF) criteria and phenotype. STUDY DESIGN: A retrospective observational study design of patients hospitalised i...

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Detalles Bibliográficos
Autores principales: Moore, Carlton R, Jain, Saumya, Haas, Stephanie, Yadav, Harish, Whitsel, Eric, Rosamand, Wayne, Heiss, Gerardo, Kucharska-Newton, Anna M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204176/
https://www.ncbi.nlm.nih.gov/pubmed/34127492
http://dx.doi.org/10.1136/bmjopen-2020-047356

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204176/
https://www.ncbi.nlm.nih.gov/pubmed/34127492
http://dx.doi.org/10.1136/bmjopen-2020-047356

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