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A Machine learning approach for the identification of biomarkers in osteoarthritis, although methodology is generic enough to applied for other biomedical data. Dataset is provided by CHECK (Cohort Hip & Cohort Knee) In total 8 Machine Learning models are attached using feature selectors RFE and Relief, with classifiers Random Forest (RF), Logistic Regression (LR), Support Vector Classifier (SVC) and Xgboost (Xgb)