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Data synthesis

MB Mustafa Bektaş
JT Jurriaan B. Tuynman
JP Jaime Costa Pereira
GB George L. Burchell
DP Donald L. van der Peet
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A descriptive summary was used to represent the type of machine learning models, predicted surgical outcomes, risk of bias assessment, and model validation. To illustrate the predictive performance of machine learning models, results of machine learning studies were reported for each predicted outcome. To represent the discriminative ability, the range of mean accuracy (ACC) and area under the curve (AUC) was described for machine learning models of each predicted outcome. Additionally, the proportion of machine learning models that have applied calibration was described, along with the calibration method. A comparative meta-analysis of machine learning models was not possible, due to heterogeneity in study methodology, and the report on outcomes.

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