Preventing unnecessary imaging in patients suspect of coronary artery disease through machine learning of electronic health records.
L Malin OvermarsBram van EsFloor GroepenhoffMark C H De GrootGerard PasterkampHester M den RuijterWouter W van SolingeImo E HoeferSaskia HaitjemaPublished in: European heart journal. Digital health (2021)
Coronary artery disease can be excluded from EHRs with high NPV. Our study demonstrates new possibilities to reduce unnecessary imaging in women and men suspected of CAD.
Keyphrases
- coronary artery disease
- electronic health record
- machine learning
- high resolution
- end stage renal disease
- percutaneous coronary intervention
- cardiovascular events
- coronary artery bypass grafting
- newly diagnosed
- ejection fraction
- chronic kidney disease
- polycystic ovary syndrome
- prognostic factors
- peritoneal dialysis
- artificial intelligence
- clinical decision support
- type diabetes
- aortic stenosis
- adverse drug
- acute coronary syndrome
- patient reported
- left ventricular
- aortic valve