@article{66e9c389131c438daebf19beac5d66b6,
title = "Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty",
keywords = "Case-Control Design, Diagnostic Study, Level IV, Total shoulder arthroplasty, anatomic total shoulder arthroplasty, complication rate, machine learning, neural networks, reverse total shoulder arthroplasty, risk assessment",
author = "Gowd, \{Anirudh K.\} and Avinesh Agarwalla and Amin, \{Nirav H.\} and Romeo, \{Anthony A.\} and Nicholson, \{Gregory P.\} and Verma, \{Nikhil N.\} and Liu, \{Joseph N.\}",
note = "Publisher Copyright: {\textcopyright} 2019 Journal of Shoulder and Elbow Surgery Board of Trustees",
year = "2019",
month = dec,
doi = "10.1016/j.jse.2019.05.017",
language = "English",
volume = "28",
pages = "e410--e421",
journal = "Journal of Shoulder and Elbow Surgery",
issn = "1058-2746",
number = "12",
}