Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty

Title
Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty
Authors
Keywords
Total shoulder arthroplasty, anatomic total shoulder arthroplasty, reverse total shoulder arthroplasty, complication rate, risk assessment, machine learning, neural networks
Journal
JOURNAL OF SHOULDER AND ELBOW SURGERY
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-08-03
DOI
10.1016/j.jse.2019.05.017

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started