Machine learning and conventional statistics: making sense of the differences. Editorial Article uri icon

Overview

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.

publication date

  • February 2, 2022

Research

keywords

  • Machine Learning
  • Orthopedics

Identity

Scopus Document Identifier

  • 85123988757

Digital Object Identifier (DOI)

  • 10.1007/s00167-022-06896-6

PubMed ID

  • 35106604

Additional Document Info

volume

  • 30

issue

  • 3