The use of machine learning for predicting candidates for outpatient spine surgery: a review.

ABSTRACT: While spine surgery has historically been performed in the inpatient setting, in recent years there has been growing interest in performing certain cervical and lumbar spine procedures on an outpatient basis. While conducting these procedures in the outpatient setting may be preferable for both the surgeon and the patient, appropriate patient selection is crucial. The employment of machine learning techniques for data analysis and outcome prediction has grown in recent years within spine surgery literature. Machine learning is a form of statistics often applied to large datasets that creates predictive models, with minimal to no human intervention, that can be applied to previously unseen data. Machine learning techniques may outperform traditional logistic regression with regards to predi

SUBMITTER: Wellington IJ 

PROVIDER: S-EPMC10570640 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature