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Optimising coronary imaging decisions with machine learning: an external validation study

Background Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. Cardiac CT or coronary angiography is often used but is inefficient and costly and involves risks. Sex-stratified algorithms based on electronic health records (EHRs) could be a non-invasive alternative...

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Autori principali: Floor Groepenhoff, Leonard Hofstra, Sophie Heleen Bots, Saskia Haitjema, Imo Hoefer, L. Malin Overmars, Bram van Es, Mark C. H. De Groot, G. Aernout Somsen, I. Igor Tulevski, Hester M. den Ruijter, Wouter W. van Solinge
Natura: Artigo
Lingua:Inglês
Pubblicazione: BMJ Publishing Group 2025-05-01
Serie:Open Heart
Accesso online:https://openheart.bmj.com/content/12/1/e003072.full
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