Machine learning and conventional statistics: making sense of the differences.

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Published Date: Feb 2, 2022

Abstract

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.

Authors

  • Christophe Ley
    Department of Mathematics, University of Luxembourg, Esch-sur-Alzette, Luxembourg. christophe.ley@uni.lu.
  • R Kyle Martin
    Department of Orthopaedic Surgery, University of Minnesota, Minneapolis, Minnesota, USA rkylemmartin@gmail.com.
  • Ayoosh Pareek
    Department of Orthopaedic Surgery and Sports Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Andreas Groll
    Department of Statistics, TU Dortmund University, Dortmund, Germany.
  • Romain Seil
    Department of Orthopaedic Surgery, Centre Hospitalier Luxembourg and Luxembourg Institute of Health, Luxembourg, Luxembourg.
  • Thomas Tischer
    Department of Orthopaedic and Traumatologic Surgery, Waldkrankenhaus, Erlangen, Germany.

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