Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction.
Joon-Myoung KwonKi Hyun JeonHyue Mee KimMin Jeong KimSungmin LimKyung-Hee KimPil Sang SongJinsik ParkRak Kyeong ChoiByung-Hee OhPublished in: PloS one (2019)
The DAMI predicted in-hospital mortality and 12-month mortality of AMI patients more accurately than the existing risk scores and other machine-learning methods.
Keyphrases
- acute myocardial infarction
- machine learning
- deep learning
- end stage renal disease
- cardiovascular events
- ejection fraction
- newly diagnosed
- chronic kidney disease
- artificial intelligence
- percutaneous coronary intervention
- risk factors
- left ventricular
- prognostic factors
- cardiovascular disease
- type diabetes
- patient reported outcomes
- big data
- convolutional neural network