Using Preoperative and Intraoperative Factors to Predict the Risk of Surgical Site Infections After Lumbar Spinal Surgery: A Machine Learning-Based Study.

Journal: World neurosurgery

Published Date: Mar 19, 2022

OBJECTIVE: To develop a model based on machine learning to predict surgical site infection (SSI) risk in patients after lumbar spinal surgery (LSS).

Wen-Cai Liu

Department of Orthopaedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, PR China.
Hui Ying

Department of Orthopedic Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China; Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.
Wei-Jie Liao

Department of Orthopaedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, PR China.
Meng-Pan Li

Department of Orthopedic Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China.
Yu Zhang

College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
Kun Luo

Department of Orthopedic Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China; Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.
Bo-Lin Sun

Department of Orthopedic Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China; Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.
Zhi-Li Liu

Department of Orthopaedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, PR China.
Jia-Ming Liu

Algorithms Humans Machine Learning Neurosurgical Procedures Retrospective Studies Risk Factors Surgical Wound Infection

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