Using machine learning and big data for the prediction of venous thromboembolic events after spine surgery: A single-center retrospective analysis of multiple models on a cohort of 6869 patients-Reference-Cited by-同舟云学术

Using machine learning and big data for the prediction of venous thromboembolic events after spine surgery: A single-center retrospective analysis of multiple models on a cohort of 6869 patients

Published:2023 Issue:3 Volume:14 Page:221
ISSN:0974-8237
Container-title:Journal of Craniovertebral Junction and Spine
language:en
Short-container-title:J Craniovert Jun Spine

Author:

Dallas Jonathan,Hopkins BenjaminS,Cloney MichaelB,Dhillon EkamjeetS,Texakalidis Pavlos,Nguyen VincentN,Ordon Matthew,El Tecle Najib,Chen ThomasC,Hsieh PatrickC,Liu JohnC,Koski TylerR,Dahdaleh NaderS

Publisher

Medknow

Subject

Neurology (clinical),Surgery

Reference39 articles.

1. Incidence and risk factors for postoperative venous thromboembolic events in patients undergoing cervical spine surgery;Bui;Clin Spine Surg,2021

2. Comparison of inpatient versus post-discharge venous thromboembolic events after spinal surgery: A single institution series of 6869 consecutive patients;Cloney;Clin Neurol Neurosurg,2020

3. Factors associated with venous thromboembolic events following ICU admission in patients undergoing spinal surgery: An analysis of 1269 consecutive patients;Cloney;J Neurosurg Spine,2018

4. Chemoprophylactic anticoagulation following lumbar surgery significantly reduces thromboembolic events after instrumented fusions, not decompressions;Cloney;Spine (Phila Pa,1976

5. Anterior approach lumbar fusions cause a marked increase in thromboembolic events: Causal inferences from a propensity-matched analysis of 1147 patients;Cloney;Clin Neurol Neurosurg,2022

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1. Prediction, stratification, and explanation of the risk of Venous Thromboembolism in post-operative patients using Electronic Health Records (Preprint);2024-07-24