Automated Retrospective Calculation of the EDACS and HEART Scores in a Multicenter Prospective Cohort of Emergency Department Chest Pain Patients.
Dustin G MarkJie HuangMamata V KeneDana R SaxDale M CottonJames S LinSean C BouvetUli K ChettipallyMegan L AndersonIan D McLachlanLaura E SimonJudy ShanAdina S RauchwergerDavid R VinsonDustin W BallardMary E Reednull nullPublished in: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine (2020)
Automated retrospective determination of low risk status by either the EDACS-ADP or the HEART pathway provides acceptable agreement compared to prospective score calculations, providing a feasible risk adjustment option for use in large data set analyses.
Keyphrases
- emergency department
- end stage renal disease
- cross sectional
- machine learning
- deep learning
- heart failure
- high throughput
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- atrial fibrillation
- peritoneal dialysis
- molecular dynamics
- big data
- patient reported outcomes
- molecular dynamics simulations
- electronic health record
- high resolution