Machine learning and preoperative risk prediction: the

Br J Anaesth · Nov 2024

Editorial

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

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.

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- Ben Shelley and Martin Shaw.
- 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.
- Br J Anaesth. 2024 Nov 1; 133 (5): 925930925-930.
AbstractPreoperative 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.Copyright © 2024 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.

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

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