Preventing unnecessary imaging in patients suspect of coronary artery disease through machine learning of electronic health records

AIMS: With the ageing European population, the incidence of coronary artery disease (CAD) is expected to rise. This will likely result in an increased imaging use. Symptom recognition can be complicated, as symptoms caused by CAD can be atypical, particularly in women. Early CAD exclusion may help t...

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Detalles Bibliográficos
Autores principales: Overmars, L Malin, van Es, Bram, Groepenhoff, Floor, De Groot, Mark C H, Pasterkamp, Gerard, den Ruijter, Hester M, van Solinge, Wouter W, Hoefer, Imo E, Haitjema, Saskia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707976/
https://www.ncbi.nlm.nih.gov/pubmed/36713995
http://dx.doi.org/10.1093/ehjdh/ztab103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707976/
https://www.ncbi.nlm.nih.gov/pubmed/36713995
http://dx.doi.org/10.1093/ehjdh/ztab103

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