Machine Learning in Cardiology
summary
A data scientist describes introducing machine learning into a Spanish public hospital cardiology department, breaking from traditional clinical research workflows. Concrete applications include using Python for predicting severe aortic stenosis, forecasting relapse after cardioversion, and applying deep learning to detect cardiotoxicity.
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