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.
Anaesthesia, Perioperative Medicine and Critical Care Research Group, University of Glasgow, Glasgow, UK; Department of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Glasgow, UK.
Br J Anaesth. 2024 Nov;133(5):925-930. doi: 10.1016/j.bja.2024.07.015. Epub 2024 Aug 29.
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.
术前风险预测是围手术期医学的一个重要组成部分。机器学习是一种强大的工具，可以构建出越来越复杂的风险预测模型，从而提高预测性能。需要仔细考虑指导机器学习方法，以确保在尝试预测的内容、预测的时间以及我们希望如何利用结果等方面做出适当的决策。
