Development and validation of a diagnostic model for differentiating tuberculous spondylitis from brucellar spondylitis using machine learning: A retrospective cohort study

Development and validation of a diagnostic model for differentiating tuberculous spondylitis from brucellar spondylitis using machine learning: A retrospective cohort study

BackgroundTuberculous spondylitis (TS) and brucellar spondylitis (BS) are commonly observed in spinal infectious diseases, which are initially caused by bacteremia. BS is easily misdiagnosed as TS, especially in underdeveloped regions of northwestern China with less sensitive medical equipment. Neve...

Full description

Bibliographic Details
Main Authors: Parhat Yasin, Muradil Mardan, Tao Xu, Xiaoyu Cai, Yakefu Abulizi, Ting Wang, Weibin Sheng, Mardan Mamat
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Surgery
Subjects:
tuberculous spondylitis (TS)
brucellar spondylitis (BS)
magnetic resonance imaging (MRI)
computed tomography (CT)
x-ray
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2022.955761/full

Internet

https://www.frontiersin.org/articles/10.3389/fsurg.2022.955761/full

Similar Items