Multiclass classification of infections after cervical spine surgery in the elderly: a machine learning approach based on preoperative and perioperative data
- 31 January 2026
- journal article
- research article
- Published by Springer Nature in European Spine Journal
- Vol. 35 (3) , 1377-1388
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- RETRACTED: Development and validation of a prediction model for postoperative pneumonia in patients who received spinal surgery: A retrospective studyHeliyon, 2024
- Effect of pre-operative HbA1c and blood glucose level on the surgical site infection after lumbar instrumentation surgeryJournal of Orthopaedic Science, 2023
- The standard for healthy Chinese older adults (2022)Aging Medicine, 2022
- Incidence and local risk factors of infection after anterior sub-axial cervical spine surgery: retrospective database analysis of 4897 consecutive proceduresArchives of orthopaedic and trauma surgery, 2021
- C-reactive protein in spinal surgery: more predictive than prehistoricEuropean Spine Journal, 2021
- The economic benefits of surgical site infection prevention in adults: a systematic reviewJournal of Hospital Infection, 2020
- Risk factors for surgical site infection and urinary tract infection after spine surgeryEuropean Spine Journal, 2016
- Preoperative Predictors of Spinal Infection within the National Surgical Quality Inpatient DatabaseWorld Neurosurgery, 2016
- Current Trends in Demographics, Practice, and In-Hospital Outcomes in Cervical Spine SurgerySpine, 2014
- Total Cholesterol, HDL-Cholesterol, and Risk of Nosocomial Infection: A Prospective Study in Surgical PatientsInfection Control & Hospital Epidemiology, 1997