Development and internal validation of machine learning models for personalized survival predictions in spinal cord glioma patients-Reference-Cited by-同舟云学术

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Development and internal validation of machine learning models for personalized survival predictions in spinal cord glioma patients

Published:2024-06 Issue:6 Volume:24 Page:1065-1076
ISSN:1529-9430
Container-title:The Spine Journal
language:en
Short-container-title:The Spine Journal

Author:

Karabacak Mert^ORCID,Schupper Alexander J.,Carr Matthew T.,Bhimani Abhiraj D.,Steinberger Jeremy,Margetis Konstantinos^ORCID

Publisher

Elsevier BV

Reference39 articles.

1. CBTRUS Statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2015–2019;Ostrom;Neuro Oncol,2022

2. Impact of extent of resection and adjuvant therapy in diffuse gliomas of the spine;Chalif;Spine J,2023

3. Updates in the management of intradural spinal cord tumors: a radiation oncology focus;Kotecha;Neuro Oncol,2019

4. Challenges in diagnosis and management of adult spinal cord gliomas;Campello;Rev Neurol (Paris),2021

5. Primary spinal cord glioma: a Surveillance, Epidemiology, and End Results database study;Milano;J Neurooncol,2010

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1. Machine learning-based diagnostic prediction of minimal change disease: model development study;2024-07-02

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