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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
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 |
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