Machine learning and preoperative risk prediction: the machines are coming.

Journal: British journal of anaesthesia
Published Date:

Abstract

Preoperative risk prediction is an important component of perioperative medicine. Machine learning is a powerful tool that could lead to increasingly complex risk prediction models with improved predictive performance. Careful consideration is required to guide the machine learning approach to ensure appropriate decisions are made with regard to what we are trying to predict, when we are trying to predict it, and what we seek to do with the results.

Authors

  • Ben Shelley
    Department of Cardiothoracic Anaesthesia and Intensive Care, Golden Jubilee National Hospital, Clydebank, UK; Anaesthesia, Perioperative Medicine and Critical Care Research Group, University of Glasgow, Glasgow, UK. Electronic address: Benjamin.shelley@glasgow.ac.uk.
  • Martin Shaw
    Department of Clinical Physics & Bioengineering, NHS Greater Glasgow and Clyde, Room 2.41, Level 2, New Lister Building, Glasgow Royal Infirmary, 10-16 Alexandra Parade, Glasgow, G31 2ER, UK.