Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data
Authors
Keywords
-
Journal
Scientific Reports
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-05-21
DOI
10.1038/s41598-020-64643-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation
- (2018) Ioannis Tsamardinos et al. MACHINE LEARNING
- Machine-learning-based patient-specific prediction models for knee osteoarthritis
- (2018) Afshin Jamshidi et al. Nature Reviews Rheumatology
- An up-to-date comparison of state-of-the-art classification algorithms
- (2017) Chongsheng Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women
- (2017) N. Lazzarini et al. OSTEOARTHRITIS AND CARTILAGE
- Predictive validity of biochemical biomarkers in knee osteoarthritis: data from the FNIH OA Biomarkers Consortium
- (2016) Virginia Byers Kraus et al. ANNALS OF THE RHEUMATIC DISEASES
- Classifications in Brief: Kellgren-Lawrence Classification of Osteoarthritis
- (2016) Mark D. Kohn et al. CLINICAL ORTHOPAEDICS AND RELATED RESEARCH
- Prediction of medial tibiofemoral compartment joint space loss progression using volumetric cartilage measurements: Data from the FNIH OA biomarkers consortium
- (2016) Nima Hafezi-Nejad et al. EUROPEAN RADIOLOGY
- Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study
- (2016) Tae Keun Yoo et al. PLoS One
- Brief Report: Cartilage Thickness Change as an Imaging Biomarker of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium
- (2015) F. Eckstein et al. Arthritis & Rheumatology
- Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment
- (2014) Felix Eckstein et al. ANNALS OF THE RHEUMATIC DISEASES
- The global burden of hip and knee osteoarthritis: estimates from the Global Burden of Disease 2010 study
- (2014) Marita Cross et al. ANNALS OF THE RHEUMATIC DISEASES
- Cohort Profile: Cohort Hip and Cohort Knee (CHECK) study
- (2014) Janet Wesseling et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Prediction model for knee osteoarthritis incidence, including clinical, genetic and biochemical risk factors
- (2013) H J M Kerkhof et al. ANNALS OF THE RHEUMATIC DISEASES
- Explaining prediction models and individual predictions with feature contributions
- (2013) Erik Štrumbelj et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Progression of osteoarthritis as a state of inertia
- (2012) David Felson et al. ANNALS OF THE RHEUMATIC DISEASES
- Evaluation of separate quantitative radiographic features adds to the prediction of incident radiographic osteoarthritis in individuals with recent onset of knee pain: 5-year follow-up in the CHECK cohort
- (2012) M.B. Kinds et al. OSTEOARTHRITIS AND CARTILAGE
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Nottingham knee osteoarthritis risk prediction models
- (2011) W. Zhang et al. ANNALS OF THE RHEUMATIC DISEASES
- Measuring classifier performance: a coherent alternative to the area under the ROC curve
- (2009) David J. Hand MACHINE LEARNING
- Developments in the clinical understanding of osteoarthritis
- (2009) David T Felson ARTHRITIS RESEARCH & THERAPY
- Knee Images Digital Analysis (KIDA): a novel method to quantify individual radiographic features of knee osteoarthritis in detail
- (2007) A.C.A. Marijnissen et al. OSTEOARTHRITIS AND CARTILAGE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started