Development of a Novel, Potentially Universal Machine Learning Algorithm for Prediction of Complications After Total Hip Arthroplasty

As the prevalence of hip osteoarthritis increases, the number of total hip arthroplasty (THA) procedures performed is also projected to increase. Accurately risk-stratifying patients who undergo THA would be of great utility, given the significant cost and morbidity associated with developing periop...

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Veröffentlicht in:	The Journal of arthroplasty 2021-05, Vol.36 (5), p.1655-1662.e1
Hauptverfasser:	Shah, Akash A., Devana, Sai K., Lee, Changhee, Kianian, Reza, van der Schaar, Mihaela, SooHoo, Nelson F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Arthroplasty, Replacement, Hip - adverse effects artificial intelligence complications Humans Machine Learning Osteoarthritis, Hip outcomes Postoperative Complications - diagnosis Postoperative Complications - epidemiology Postoperative Complications - etiology Retrospective Studies Risk Factors total hip arthroplasty
Online-Zugang:	Volltext
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