Retrospective comparison of traditional and artificial intelligence-based heart failure phenotyping in a US health system to enable real-world evidence

OBJECTIVE: Quantitatively evaluate the quality of data underlying real-world evidence (RWE) in heart failure (HF). DESIGN: Retrospective comparison of accuracy in identifying patients with HF and phenotypic information was made using traditional (ie, structured query language applied to structured e...

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Detalles Bibliográficos
Autores principales: Garan, Arthur Reshad, Monda, Keri L, Dent-Acosta, Ricardo E, Riskin, Daniel J, Gluckman, Ty J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414071/
https://www.ncbi.nlm.nih.gov/pubmed/37558448
http://dx.doi.org/10.1136/bmjopen-2023-073178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414071/
https://www.ncbi.nlm.nih.gov/pubmed/37558448
http://dx.doi.org/10.1136/bmjopen-2023-073178

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