Prediction of major complications and readmission after lumbar spinal fusion: a machine learning–driven approach
Background Given the significant cost and morbidity of patients undergoing lumbar fusion,
accurate preoperative risk-stratification would be of great utility. We aim to develop a
machine learning model for prediction of major complications and readmission after lumbar
fusion. We also aim to identify the factors most important to performance of each tested
model. Methods We identified 38,788 adult patients who underwent lumbar fusion at any
California hospital between 2015 and 2017. The primary outcome was major perioperative …
accurate preoperative risk-stratification would be of great utility. We aim to develop a
machine learning model for prediction of major complications and readmission after lumbar
fusion. We also aim to identify the factors most important to performance of each tested
model. Methods We identified 38,788 adult patients who underwent lumbar fusion at any
California hospital between 2015 and 2017. The primary outcome was major perioperative …
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