领域(数学)
计算机科学
统计
人工智能
机器学习
数据科学
心理学
数学
纯数学
作者
Christophe Ley,R. Kyle Martin,Ayoosh Pareek,Andreas Groll,Romain Seil,Thomas Tischer
标识
DOI:10.1007/s00167-022-06896-6
摘要
The application of machine learning (ML) to the field of orthopaedic surgery is rapidly increasing, but many surgeons remain unfamiliar with the nuances of this novel technique. With this editorial, we address a fundamental topic—the differences between ML techniques and traditional statistics. By doing so, we aim to further familiarize the reader with the new opportunities available thanks to the ML approach.
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