Can machine learning harness clinical value and discovery simultaneously?
Author:
Funder
Icahn School of Medicine at Mount Sinai
Publisher
Elsevier BV
Reference6 articles.
1. Prediction of clinical outcomes after percutaneous coronary intervention: machine-learning analysis of the National Inpatient Sample;Galimzhanov;Int. J. Cardiol.,2023
2. Machine learning-based predictive risk models for 30-day and 1-year mortality in severe aortic stenosis patients undergoing transcatheter aortic valve implantation;Lertsanguansinchai;Int. J. Cardiol.,2023
3. Using machine learning to predict cardiovascular risk using self-reported questionnaires: findings from the 45 and up study;Wang;Int. J. Cardiol.,2023
4. Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease;Pingitore;Int. J. Cardiol.,2024
5. Evaluation of post-hoc interpretability methods in time-series classification;Turbé;Nat. Mach. Intell.,2023
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