Development and validation of a diagnostic model for differentiating tuberculous spondylitis from brucellar spondylitis using machine learning: A retrospective cohort study
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Development and validation of a diagnostic model for differentiating tuberculous spondylitis from brucellar spondylitis using machine learning: A retrospective cohort study
Authors
Keywords
-
Journal
Frontiers in Surgery
Volume 9, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2023-01-06
DOI
10.3389/fsurg.2022.955761
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Using noninvasive anthropometric indices to develop and validate a predictive model for metabolic syndrome in Chinese adults: a nationwide study
- (2022) Qian Xu et al. BMC Endocrine Disorders
- The Angiopoietin-like protein 4: a promising biomarker to distinguish brucella spondylitis from tuberculous spondylitis
- (2021) Siqin Lan et al. CLINICAL RHEUMATOLOGY
- Predictive analysis of the number of human brucellosis cases in Xinjiang, China
- (2021) Yanling Zheng et al. Scientific Reports
- Machine Learning Algorithm Using Electronic Chart-Derived Data to Predict Delirium After Elderly Hip Fracture Surgeries: A Retrospective Case-Control Study
- (2021) Hong Zhao et al. Frontiers in Surgery
- Development and validation of a novel predictive model and web calculator for evaluating transfusion risk after spinal fusion for spinal tuberculosis: a retrospective cohort study
- (2021) Shengtao Dong et al. BMC MUSCULOSKELETAL DISORDERS
- Tuberculous and Brucellar Spondylodiscitis: Comparative Analysis of Clinical, Laboratory, and Radiological Features
- (2020) Fatma Hammami et al. Asian Spine Journal
- Building a tuberculosis-free world: The Lancet Commission on tuberculosis
- (2019) Michael J A Reid et al. LANCET
- Spinal Tuberculosis: A Comprehensive Review For The Modern Spine Surgeon
- (2019) Krishn Khanna et al. Spine Journal
- A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
- (2019) Evangelia Christodoulou et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Relevance of TNF-α, IL-6 and IRAK1 gene expression for assessing disease severity and therapy effects in tuberculosis patients
- (2019) Ivana Buha et al. Journal of Infection in Developing Countries
- Differentiation Between Brucellar and Tuberculous Spondylodiscitis in the Acute and Subacute Stages by MRI
- (2018) Xinxin Liu et al. ACADEMIC RADIOLOGY
- R2ucare: An r package to perform goodness-of-fit tests for capture-recapture models
- (2018) Olivier Gimenez et al. Methods in Ecology and Evolution
- Comparison of Tuberculous and Brucellar Spondylitis on Magnetic Resonance Images
- (2017) Meng Gao et al. SPINE
- The clinical features of 590 patients with brucellosis in Xinjiang, China with the emphasis on the treatment of complications
- (2017) Bin Jia et al. PLoS Neglected Tropical Diseases
- gkmSVM: an R package for gapped-kmer SVM
- (2016) Mahmoud Ghandi et al. BIOINFORMATICS
- Bayesian Naïve Bayes classifiers to text classification
- (2016) Shuo Xu JOURNAL OF INFORMATION SCIENCE
- Early diagnosis of spinal tuberculosis
- (2016) Chang-Hua Chen et al. JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION
- Modelling Seasonal Brucellosis Epidemics in Bayingolin Mongol Autonomous Prefecture of Xinjiang, China, 2010–2014
- (2016) Pengwei Lou et al. Biomed Research International
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
- (2015) Karel G.M. Moons et al. ANNALS OF INTERNAL MEDICINE
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement
- (2015) G. S. Collins et al. BRITISH JOURNAL OF SURGERY
- Comparison of brucellar and tuberculous spondylodiscitis patients: results of the multicenter “Backbone-1 Study”
- (2015) Hakan Erdem et al. Spine Journal
- Diagnosis ofHelicobacter pyloriinfection: Current options and developments
- (2015) Yao-Kuang Wang WORLD JOURNAL OF GASTROENTEROLOGY
- yaImpute: AnRPackage forkNN Imputation
- (2015) Nicholas L. Crookston et al. Journal of Statistical Software
- Update on treatment options for spinal brucellosis
- (2013) A. Ulu-Kilic et al. CLINICAL MICROBIOLOGY AND INFECTION
- Tuberculosis of spine: neurological deficit
- (2012) Anil K. Jain et al. EUROPEAN SPINE JOURNAL
- Factors that influence current tuberculosis epidemiology
- (2012) Juan-Pablo Millet et al. EUROPEAN SPINE JOURNAL
- Complicated brucellar spondylodiscitis: experience from an endemic area
- (2012) Aysegul Ulu-Kilic et al. RHEUMATOLOGY INTERNATIONAL
- Spinal tuberculosis: A review
- (2011) Ravindra Kumar Garg et al. JOURNAL OF SPINAL CORD MEDICINE
- Comparative analysis of tuberculous and brucellar spondylodiscitis
- (2011) Ali Kutta Çelik et al. TROPICAL DOCTOR
- Tuberculosis of the spine
- (2010) A. K. Jain JOURNAL OF BONE AND JOINT SURGERY-BRITISH VOLUME
- Clinical manifestations and complications in 1028 cases of brucellosis: a retrospective evaluation and review of the literature
- (2009) Turan Buzgan et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Brucellosis: A re-emerging zoonosis
- (2009) Mohamed N. Seleem et al. VETERINARY MICROBIOLOGY
- Current therapeutic strategy in spinal brucellosis
- (2008) Emine Alp et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Clinical Findings, Therapeutic Approach, and Outcome of Brucellar Vertebral Osteomyelitis
- (2007) J. D. Colmenero et al. CLINICAL INFECTIOUS DISEASES
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now