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Assessing the Precision of Surgery Duration Estimation: A Retrospective Study.

J Multidiscip Healthc · 2023 · PMC10257906 · PMID 37309537

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highly significantno p-value reported
6 , 7 However, Gómez-Ríos et al stressed the necessity of reducing OR underestimation because its expense per hour is highly significant compared to overestimation. 6 To improve scheduling accuracy, Bartek et al developed a machine learning (ML) model to predict surgery duration and increase the prediction accuracy to 39%. 20 ML considers variables such as patient age, gender, clinical features, and the performing surgeon, which mig

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