Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess-Reference-Cited by-同舟云学术

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Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess

Published:2019-10 Issue:10 Volume:19 Page:1657-1665
ISSN:1529-9430
Container-title:The Spine Journal
language:en
Short-container-title:The Spine Journal

Author:

Shah Akash A.,Karhade Aditya V.,Bono Christopher M.,Harris Mitchel B.,Nelson Sandra B.,Schwab Joseph H.

Publisher

Elsevier BV

Subject

Clinical Neurology,Surgery,Orthopedics and Sports Medicine

Reference37 articles.

1. Spinal epidural abscess: contemporary trends in etiology, evaluation, and management;Rigamonti;Surg Neurol,1999

2. Spinal epidural abscess;Darouiche;N Engl J Med,2006

3. Medical and surgical management of spinal epidural abscess: a systematic review;Arko;Neurosurg Focus,2014

4. Spinal epidural abscess: a meta-analysis of 915 patients;Reihsaus;Neurosurg Rev,2000

5. Spontaneous spinal epidural abscess in patients 50 years of age and older: a 15-year institutional perspective and review of the literature;Adogwa;J Neurosurg Spine,2014

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2. External Validation of Predictive Models for Failed Medical Management of Spinal Epidural Abscess;World Neurosurgery;2024-07

3. The utility of vertebral Hounsfield units as a prognostic indicator of adverse events following treatment of spinal epidural abscess;North American Spine Society Journal (NASSJ);2024-03

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