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

Objective: Venous thromboembolic event (VTE) after spine surgery is a rare but potentially devastating complication. With the advent of machine learning, an opportunity exists for more accurate prediction of such events to aid in prevention and treatment. Methods: Seven models were screened using 10...

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Bibliographic Details
Main Authors: Benjamin S Hopkins, Michael B Cloney, Ekamjeet S Dhillon, Pavlos Texakalidis, Jonathan Dallas, Vincent N Nguyen, Matthew Ordon, Najib El Tecle, Thomas C Chen, Patrick C Hsieh, John C Liu, Tyler R Koski, Nader S Dahdaleh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2023-01-01
Series:Journal of Craniovertebral Junction and Spine
Subjects:
Online Access:http://www.jcvjs.com/article.asp?issn=0974-8237;year=2023;volume=14;issue=3;spage=221;epage=229;aulast=Hopkins