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Machine Learning in Orthopaedics Is Ready for Prime Time.

Authors :
Pareek, Ayoosh
Yining Lu
Martin, R. Kyle
Engebretsen, Lars
Krych, Aaron
Source :
AAOS Now. Nov2020, p1-6. 6p. 1 Graph.
Publication Year :
2020

Abstract

Over the past decade, machine learning (ML) has become an important tool, with promising early results, yet its adoption in orthopaedic surgery has been slow. Although most ML studies rely on the analysis of data from thousands of patients to make accurate predictive models, the quality of the data is paramount. The Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research were published in 2016 with the similar goal of attaining standardization in models developed with ML methods. [Extracted from the article]

Details

Language :
English
ISSN :
19356765
Database :
Academic Search Index
Journal :
AAOS Now
Publication Type :
Periodical
Accession number :
147207999