Christchurch Heart Institute, Department of Medicine, University of Otago Christchurch, New Zealand; Emergency Care Foundation, Christchurch Hospital, New Zealand.
Rev Esp Cardiol (Engl Ed). 2023 Aug;76(8):645-654. doi: 10.1016/j.rec.2023.02.009. Epub 2023 Mar 9.
Machine learning in cardiology is becoming more commonplace in the medical literature; however, machine learning models have yet to result in a widespread change in practice. This is partly due to the language used to describe machine, which is derived from computer science and may be unfamiliar to readers of clinical journals. In this narrative review, we provide some guidance on how to read machine learning journals and additional guidance for investigators considering instigating a study using machine learning. Finally, we illustrate the current state of the art with brief summaries of 5 articles describing models that range from the very simple to the highly sophisticated.
机器学习在心脏病学领域的医学文献中越来越常见；然而，机器学习模型尚未导致实践的广泛改变。这部分是由于用于描述机器的语言来自计算机科学，可能不熟悉临床期刊的读者。在这篇叙述性评论中，我们提供了一些关于如何阅读机器学习期刊的指导，以及对考虑使用机器学习开展研究的研究人员的额外指导。最后，我们用 5 篇描述从非常简单到非常复杂模型的文章的简要总结来说明当前的艺术状态。
