Drivers of Prolonged Hospitalization Following Spine Surgery: A Game-Theory-Based Approach to Explaining Machine Learning Models
BACKGROUND:Understanding the interactions between variables that predict prolonged hospital length of stay (LOS) following spine surgery can help uncover drivers of this risk in patients. This study utilized a novel game-theory-based approach to develop explainable machine learning models to underst...
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Veröffentlicht in: | Journal of bone and joint surgery. American volume 2021-01, Vol.103 (1), p.64-73 |
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Format: | Artikel |
Sprache: | eng |
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