Application of a Causal Discovery Algorithm to the Analysis of Arthroplasty Registry Data
Improving the quality of care for hip arthroplasty (replacement) patients requires the systematic evaluation of clinical performance of implants and the identification of “outlier” devices that have an especially high risk of reoperation (“revision”). Postmarket surveillance of arthroplasty implants...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2018-02-01
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| Series: | Biomedical Engineering and Computational Biology |
| Online Access: | https://doi.org/10.1177/1179597218756896 |