Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery

S Shahrestani, AK Chan, EF Bisson, M Bydon… - Neurosurgical …, 2023 - thejns.org
OBJECTIVE Spondylolisthesis is a common operative disease in the United States, but
robust predictive models for patient outcomes remain limited. The development of models …

[HTML][HTML] Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery.

S Shahrestani, AK Chan, EF Bisson, M Bydon… - 2023 - dukespace.lib.duke.edu
Objective Spondylolisthesis is a common operative disease in the United States, but robust
predictive models for patient outcomes remain limited. The development of models that …

Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery.

S Shahrestani, AK Chan, EF Bisson, M Bydon… - Neurosurgical …, 2023 - europepmc.org
Objective Spondylolisthesis is a common operative disease in the United States, but robust
predictive models for patient outcomes remain limited. The development of models that …

Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery

S Shahrestani, AK Chan, EF Bisson… - Neurosurgical …, 2023 - pubmed.ncbi.nlm.nih.gov
Objective Spondylolisthesis is a common operative disease in the United States, but robust
predictive models for patient outcomes remain limited. The development of models that …

Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery

S Shahrestani, AK Chan, EF Bisson, M Bydon… - Neurosurg Focus, 2023 - thejns.org
OBJECTIVE Spondylolisthesis is a common operative disease in the United States, but
robust predictive models for patient outcomes remain limited. The development of models …