Benedetto et al. looked into machine learning as a tool to predict mortality after cardiac surgery. They analyzed single-center data using prediction models, which were developed based on a neural network technique. They demonstrated in their cohort of more than 28.000 surgeries that machine learning methods did not result in improved prediction of mortality following cardiac surgery.
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Can Machine Learning Improve Mortality Prediction Following Cardiac Surgery?
Submitted by: Emily Robinson
Source: European Journal of Cardio-Thoracic Surgery
Source URL: https://doi.org/10.1093/ejcts/ezaa229
Keywords:
Author(s): Umberto Benedetto, Shubhra Sinha, Matt Lyon, Arnaldo Dimagli, Tom R Gaunt, Gianni Angelini, Jonathan Sterne
