Open AccessMachine learning and conventional statistics: making sense of the differences
Author(s) -
Ley Christophe,
Martin R. Kyle,
Pareek Ayoosh,
Groll Andreas,
Seil Romain,
Tischer Thomas
Publication year - 2022
Publication title -
knee surgery, sports traumatology, arthroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.806
H-Index - 125
eISSN - 1433-7347
pISSN - 0942-2056
DOI - 10.1007/s00167-022-06896-6
Subject(s) - field (mathematics) , computer science , data science , artificial intelligence , machine learning , statistics , psychology , mathematics , pure mathematics
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.