Research graph
References from Risk stratification for postoperative hematoma following anterior cervical spine surgery: a machine learning approach. Local targets link to admitted publications; unresolved targets remain external evidence.
Predicting trends in cervical spinal surgery in the United States from 2020 to 2040
10.1016/j.wneu.2020.05.055 · 2020 · External reference
Frequency, recognition, and management of postoperative hematomas following anterior cervical spine surgery: a review
10.25259/sni_669_2020 · 2020 · External reference
Increase in surgeons performing outpatient anterior cervical spine surgery leads to a shift in case volumes over time
2022 · External reference
Incidence, risk factors, and clinical implications of postoperative hematoma requiring reoperation following anterior cervical discectomy and fusion
10.1097/brs.0000000000002885 · 2019 · External reference
Airway compromise due to wound hematoma following anterior cervical spine surgery
10.2174/1874325001206010108 · 2012 · External reference
Machine learning in healthcare
10.2174/1389202922666210705124359 · 2021 · External reference
The role of machine learning in clinical research: transforming the future of evidence generation
10.1186/s13063-021-05489-x · 2021 · External reference
Social determinants of health and disparities in spine surgery: a 10-year analysis of 8,565 cases using ensemble machine learning and multilayer perceptron
10.1016/j.spinee.2024.07.003 · 2024 · External reference
Use of random forest machine learning algorithm to predict short term outcomes following posterior cervical decompression with instrumented fusion
2023 · External reference
Prediction of In-hospital mortality following vertebral fracture fixation in patients with ankylosing spondylitis or diffuse idiopathic skeletal hyperostosis: machine learning analysis
10.14444/8567 · 2024 · External reference
Accounting for age in prediction of discharge destination following elective lumbar fusion: a supervised machine learning approach
10.1016/j.spinee.2023.03.015 · 2023 · External reference
Novel risk factors for postoperative hematoma requiring reoperation following anterior cervical discectomy and fusion
10.1097/bsd.0000000000001716 · 2025 · External reference
Risk factors for postoperative retropharyngeal hematoma after anterior cervical spine surgery
10.1097/brs.0000000000000139 · 2014 · External reference
Incidence, risk factors, and management of postoperative hematoma following anterior cervical decompression and fusion for degenerative cervical diseases
10.14245/ns.2245066.533 · 2023 · External reference
MissForest—non-parametric missing value imputation for mixed-type data
10.1093/bioinformatics/btr597 · 2012 · External reference
A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome
10.1177/0962280206074466 · 2007 · External reference
Scikit-learn: machine learning in Python
2011 · External reference
PsmPy: A package for retrospective cohort matching in Python
2022 · External reference
One-to-many propensity score matching in cohort studies
10.1002/pds.3263 · 2012 · External reference
CatBoost: unbiased boosting with categorical features
2019 · External reference
LightGBM: a highly efficient gradient boosting decision tree
2017 · External reference
XGBoost: a scalable tree boosting system
2016 · External reference
Clinical outcomes and revision rates following four-level anterior cervical discectomy and fusion
10.1038/s41598-022-09389-1 · 2022 · External reference
Rates and risk factors associated with 90-day readmission following cervical spine fusion surgery: analysis of the Michigan Spine Surgery Improvement Collaborative (MSSIC) registry
10.1016/j.spinee.2020.01.003 · 2020 · External reference
Prediction of worse functional status after surgery for degenerative cervical myelopathy: a machine learning approach
10.1093/neuros/nyaa477 · 2021 · External reference
