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Can Machine Learning Improve Mortality Prediction Following Cardiac Surgery?

Friday, December 18, 2020

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Source Name: European Journal of Cardio-Thoracic Surgery


Umberto Benedetto, Shubhra Sinha, Matt Lyon, Arnaldo Dimagli, Tom R Gaunt, Gianni Angelini, Jonathan Sterne

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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