Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?

Anders El-Galaly; Clare Grazal; Andreas Kappel; Poul Torben Nielsen; Steen Lund Jensen; Jonathan A Forsberg

doi:10.1097/CORR.0000000000001343

Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?

Anders El-Galaly, Clare Grazal, Andreas Kappel, Poul Torben Nielsen, Steen Lund Jensen, Jonathan A Forsberg

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	Clinical Orthopaedics and Related Research
Volume	478
Issue number	9
Pages (from-to)	2088-2101
Number of pages	14
ISSN	0009-921X
DOIs	https://doi.org/10.1097/CORR.0000000000001343
Publication status	Published - Sep 2020

Access to Document

10.1097/CORR.0000000000001343

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431253/pdf/abjs-478-2088.pdf

Cite this

@article{91cf5a1256c440b7840ddada0cfdc80f,

title = "Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?",

author = "Anders El-Galaly and Clare Grazal and Andreas Kappel and Nielsen, {Poul Torben} and Jensen, {Steen Lund} and Forsberg, {Jonathan A}",

year = "2020",

month = sep,

doi = "10.1097/CORR.0000000000001343",

language = "English",

volume = "478",

pages = "2088--2101",

journal = "Clinical Orthopaedics and Related Research",

issn = "0009-921X",