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...
Main Authors: | , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2023-01-01
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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 |