Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry
Authors
Keywords
-
Journal
JOURNAL OF NEUROSURGERY-SPINE
Volume -, Issue -, Pages 1-11
Publisher
Journal of Neurosurgery Publishing Group (JNSPG)
Online
2019-06-08
DOI
10.3171/2019.3.spine181367
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Infectious Surgical Complications are Not Dichotomous
- (2018) David A. Etzioni et al. ANNALS OF SURGERY
- Thirty-day postoperative morbidity and mortality after temporal lobectomy for medically refractory epilepsy
- (2018) Panagiotis Kerezoudis et al. JOURNAL OF NEUROSURGERY
- Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion
- (2018) Jun S. Kim et al. SPINE
- Predictive model for distal junctional kyphosis after cervical deformity surgery
- (2018) Peter G. Passias et al. Spine Journal
- Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review
- (2018) Joeky T. Senders et al. World Neurosurgery
- Classifier transfer with data selection strategies for online support vector machine classification with class imbalance
- (2017) Mario Michael Krell et al. Journal of Neural Engineering
- Predictors of extended length of stay, discharge to inpatient rehab, and hospital readmission following elective lumbar spine surgery: introduction of the Carolina-Semmes Grading Scale
- (2017) Matthew J. McGirt et al. JOURNAL OF NEUROSURGERY-SPINE
- Potential of predictive computer models for preoperative patient selection to enhance overall quality-adjusted life years gained at 2-year follow-up: a simulation in 234 patients with adult spinal deformity
- (2017) Taemin Oh et al. Neurosurgical Focus
- 30-Day Readmission After Spine Surgery
- (2017) Owoicho Adogwa et al. SPINE
- Analysis of Risk Factors for Major Complications Following Elective Posterior Lumbar Fusion
- (2017) John Di Capua et al. SPINE
- Predicting Occurrence of Spine Surgery Complications Using “Big Data” Modeling of an Administrative Claims Database
- (2016) John K. Ratliff et al. JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME
- Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma
- (2016) Hamed Akbari et al. NEUROSURGERY
- Predictors of Discharge Destination After Lumbar Spine Fusion Surgery
- (2016) Sultan Aldebeyan et al. SPINE
- Risk factors for surgical site infection after posterior cervical spine surgery: an analysis of 5,441 patients from the ACS NSQIP 2005–2012
- (2016) Arjun Sebastian et al. Spine Journal
- Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations
- (2016) Eric Karl Oermann et al. Scientific Reports
- Coma and Stroke Following Surgical Treatment of Unruptured Intracranial Aneurysm: An American College of Surgeons National Surgical Quality Improvement Program Study
- (2016) Brandon A. McCutcheon et al. World Neurosurgery
- Outcomes and Complications After Endovascular Treatment of Brain Arteriovenous Malformations: A Prognostication Attempt Using Artificial Intelligence
- (2016) Hamed Asadi et al. World Neurosurgery
- Inpatient Outcomes and Postoperative Complications After Primary Versus Revision Lumbar Spinal Fusion Surgeries for Degenerative Lumbar Disc Disease: A National (Nationwide) Inpatient Sample Analysis, 2002–2011
- (2016) Piyush Kalakoti et al. World Neurosurgery
- Magnetic resonance imaging pattern learning in temporal lobe epilepsy: Classification and prognostics
- (2015) Boris C. Bernhardt et al. ANNALS OF NEUROLOGY
- Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsy
- (2015) Negar Memarian et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy
- (2015) Haydn Hoffman et al. JOURNAL OF CLINICAL NEUROSCIENCE
- Use of Artificial Neural Networks to Predict Recurrent Lumbar Disk Herniation
- (2015) Parisa Azimi et al. JOURNAL OF SPINAL DISORDERS & TECHNIQUES
- Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data
- (2015) Brent C. Munsell et al. NEUROIMAGE
- Thirty-day readmission rates in spine surgery: systematic review and meta-analysis
- (2015) James T. Bernatz et al. Neurosurgical Focus
- Prediction model for outcome after low-back surgery: individualized likelihood of complication, hospital readmission, return to work, and 12-month improvement in functional disability
- (2015) Matthew J. McGirt et al. Neurosurgical Focus
- A Generic Support Vector Machine Model for Preoperative Glioma Survival Associations
- (2015) Kyrre E. Emblem et al. RADIOLOGY
- Geographic Variations in the Cost of Spine Surgery
- (2015) Vadim Goz et al. SPINE
- Advanced [18F]FDG and [11C]flumazenil PET analysis for individual outcome prediction after temporal lobe epilepsy surgery for hippocampal sclerosis
- (2015) J. Yankam Njiwa et al. NeuroImage-Clinical
- Use of artificial neural networks to predict surgical satisfaction in patients with lumbar spinal canal stenosis
- (2014) Parisa Azimi et al. JOURNAL OF NEUROSURGERY-SPINE
- Effects of diabetes and smoking on lumbar spinal surgery outcomes
- (2013) Shaun Previn Appaduray et al. JOURNAL OF CLINICAL NEUROSCIENCE
- Development and Evaluation of the Universal ACS NSQIP Surgical Risk Calculator: A Decision Aid and Informed Consent Tool for Patients and Surgeons
- (2013) Karl Y. Bilimoria et al. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS
- Perioperative Complications and Mortality After Spinal Fusions
- (2013) Vadim Goz et al. SPINE
- A Comparison of Clinical Registry Versus Administrative Claims Data for Reporting of 30-Day Surgical Complications
- (2012) Elise H. Lawson et al. ANNALS OF SURGERY
- MissForest--non-parametric missing value imputation for mixed-type data
- (2011) D. J. Stekhoven et al. BIOINFORMATICS
- Risk Prediction Models for Hospital Readmission
- (2011) Devan Kansagara et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Toward Robust Information: Data Quality and Inter-Rater Reliability in the American College of Surgeons National Surgical Quality Improvement Program
- (2009) Mira Shiloach et al. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now