Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach.
Firdaus AzizSorayya MalekKhairul Shafiq IbrahimRaja Ezman Raja ShariffWan Azman Wan AhmadRosli Mohd AliKien Ting LiuGunavathy SelvarajSazzli KasimPublished in: PloS one (2021)
In a multi-ethnic population, patients with STEMI were better classified using the machine learning method compared to TIMI scoring. Machine learning allows for the identification of distinct factors in individual Asian populations for better mortality prediction. Ongoing continuous testing and validation will allow for better risk stratification and potentially alter management and outcomes in the future.
Keyphrases
- st elevation myocardial infarction
- machine learning
- percutaneous coronary intervention
- artificial intelligence
- cardiovascular events
- st segment elevation myocardial infarction
- big data
- coronary artery disease
- liver failure
- acute coronary syndrome
- deep learning
- respiratory failure
- drug induced
- current status
- adipose tissue
- intensive care unit
- glycemic control
- mechanical ventilation