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
- end stage renal disease
- high resolution
- percutaneous coronary intervention
- cardiovascular events
- coronary artery bypass grafting
- chronic kidney disease
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- polycystic ovary syndrome
- clinical decision support
- metabolic syndrome
- type diabetes
- aortic stenosis
- acute coronary syndrome
- big data
- cardiovascular disease
- atrial fibrillation