Detecting knee osteoarthritis and its discriminating parameters using random forests

Highlights • An algorithmic method that detects knee osteoarthritis. • Machine learning, specifically random forests, is applied on ground reaction forces. • Discriminating parameters of knee osteoarthritis are automatically detected. • Parameters have a clinical interpretation and are in line with medical literature. • The proposed approach is subject-independent.

• Publication year

  2017

• Venue

  Medical Engineering and Physics

• Publication date

  2017-05-01

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1016/j.medengphy.2017.02.004PMID 28242181PMCID 5390773
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

  2019cited by this paper
• The Complexity of Human Walking: A Knee Osteoarthritis Study

  2014cited by this paper
• Unsupervised Time Series Segmentation for High-Dimensional Body Sensor Network Data Streams

  2014cited by this paper
• Application of principal component analysis in clinical gait research: identification of systematic differences between healthy and medial knee-osteoarthritic gait.

  2013cited by this paper
• Measuring body weight distribution during sit-to-stand in patients with early knee osteoarthritis.

  2013cited by this paper
• Altering foot progression angle in people with medial knee osteoarthritis: the effects of varying toe-in and toe-out angles are mediated by pain and malalignment.

  2013cited by this paper
• Varus thrust and knee frontal plane dynamic motion in persons with knee osteoarthritis.

  2013cited by this paper
• Random forests for genomic data analysis.

  2012cited by this paper
• A neural network model to predict knee adduction moment during walking based on ground reaction force and anthropometric measurements.

  2012cited by this paper
• Knee replacement.

  2012cited by this paper
• Toe‐out, lateral trunk lean, and pelvic obliquity during prolonged walking in patients with medial compartment knee osteoarthritis and healthy controls

  2012cited by this paper
• Systematic review of the concurrent and predictive validity of MRI biomarkers in OA.

  2011cited by this paper
• Automatic classification of pathological gait patterns using ground reaction forces and machine learning algorithms

  2011cited by this paper
• Gait modification strategies for altering medial knee joint load: A systematic review

  2011cited by this paper
• Feasibility of a gait retraining strategy for reducing knee joint loading: increased trunk lean guided by real-time biofeedback.

  2011cited by this paper
• Comparison among probabilistic neural network, support vector machine and logistic regression for evaluating the effect of subthalamic stimulation in Parkinson disease on ground reaction force during gait.

  2010cited by this paper
• A fuzzy decision tree-based SVM classifier for assessing osteoarthritis severity using ground reaction force measurements.

  2010cited by this paper
• The Manipulative Complexity of Lower Paleolithic Stone Toolmaking

  2010cited by this paper
• EULAR evidence-based recommendations for the diagnosis of knee osteoarthritis

  2009cited by this paper
• Differences in gait parameters between healthy subjects and persons with moderate and severe knee osteoarthritis: a result of altered walking speed?

  2009cited by this paper
• Automatic Classification of Asymptomatic and Osteoarthritis Knee Gait Patterns Using Kinematic Data Features and the Nearest Neighbor Classifier

  2008influential reference
• Implications of increased medio-lateral trunk sway for ambulatory mechanics.

  2008cited by this paper
• Effect of foot rotation on knee kinetics and hamstring activation in older adults with and without signs of knee osteoarthritis.

  2008cited by this paper
• Gait and neuromuscular pattern changes are associated with differences in knee osteoarthritis severity levels.

  2008cited by this paper
• Biomechanical features of gait waveform data associated with knee osteoarthritis: an application of principal component analysis.

  2007cited by this paper
• Influences on knee movement strategies during walking in persons with medial knee osteoarthritis.

  2007cited by this paper
• Classification of osteoarthritic and normal knee function using three-dimensional motion analysis and the Dempster-Shafer theory of evidence

  2006cited by this paper
• A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data.

  2005cited by this paper
• Treadmill walking and overground walking of human subjects compared by recording sole-floor reaction force.

  2005cited by this paper
• Vertical ground reaction force shape is associated with gait parameters, timed up and go, and functional reach in elderly females.

  2004cited by this paper
• Alterations in lower extremity movement and muscle activation patterns in individuals with knee osteoarthritis.

  2004cited by this paper
• Potential strategies to reduce medial compartment loading in patients with knee osteoarthritis of varying severity: reduced walking speed.

  2004cited by this paper
• Random Forests

  2001cited by this paper
• Gait characteristics of patients with knee osteoarthritis.

  2001cited by this paper
• Analysis of the discordance between radiographic changes and knee pain in osteoarthritis of the knee.

  2000cited by this paper
• Knee replacement

  1992cited by this paper

• Automatic Diagnosis of Hip and Knee Osteoarthritis from Medical Text Records

  2025cites this paper
• Development of a hip osteoarthritis index for gait quality assessment: a data-driven comparative study

  2025cites this paper
• Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives

  2025cites this paper
• Computer aided diagnostic model for knee osteoarthritis: A multi-modal feature regression approach.

  2025cites this paper
• GaitMirror: Design and Implementation of an Artificial Intelligence-Based Gait Recognition System for Evaluating the Effectiveness of Lower Limb Rehabilitation

  2025cites this paper
• Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns

  2025cites this paper
• Artificial Intelligence and the State of the Art of Orthopedic Surgery

  2025cites this paper
• Functional data analysis of ground reaction forces combined with clinical measures for early knee osteoarthritis detection

  2025cites this paper
• A practical guide to the implementation of artificial intelligence in orthopaedic research—Part 3: How orthopaedic research benefits from the implementation of artificial intelligence

  2025cites this paper
• Feasibility of automatic knee kinematic feature learning for discriminating between individuals with and without a history of an anterior cruciate ligament reconstruction.

  2025cites this paper
• A Glossary of Terms in Artificial Intelligence for Healthcare.

  2024cites this paper
• Phase Space Reconstruction and Euclidean Distance for Improving the Classification of Gait Patterns between Patients with Knee Osteoarthritis and Healthy Controls

  2024influential citation
• Ensemble CNN Model for Computer-Aided Knee Osteoarthritis Diagnosis

  2024cites this paper
• Supervised machine learning for the prediction of post‐operative clinical outcomes of hip and knee replacements: a review

  2024cites this paper
• Explainable Artificial intelligence based framework for orthopedic patient classification using biomechanical features

  2024cites this paper
• A Comparative Study of Machine Learning Classifiers for Enhancing Knee Osteoarthritis Diagnosis

  2024cites this paper
• Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images

  2024cites this paper
• A Comprehensive Review of Machine Learning’s Role within KOA

  2024cites this paper
• A Novel Method Based on CNN-LSTM to Characterize Knee Osteoarthritis from Radiography

  2024cites this paper
• Gait Analysis Technologies for Measurement of Biomechanical Parameters of Knee Osteoarthritis

  2024influential citation
• Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders

  2024cites this paper
• Knee Osteoarthritis Detection Using Machine Learning on Pre-Processed X-ray Images and Treatment Recommendation

  2024cites this paper
• Knee Osteoarthritis Image Classification Based on A Novel Multi-granularity Feature Fusion Network

  2024cites this paper
• Automatic Detection of Knee Osteoarthritis Disease with the Developed CNN, NCA and SVM Based Hybrid Model

  2023cites this paper
• Lower Limb Disorder Identification

  2023cites this paper
• Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence

  2023cites this paper
• Evaluating the Efficacy of Deep Learning models for Knee Osteoarthritis Prediction Based on Kellgren-Lawrence Grading System

  2023cites this paper
• An Overview of Machine Learning in Orthopedic Surgery: An Educational Paper.

  2023cites this paper
• The application of machine learning in early diagnosis of osteoarthritis: a narrative review

  2023cites this paper
• Demystifying Statistics and Machine Learning in Analysis of Structured Tabular Data.

  2023cites this paper
• IJES-OA Net: A residual neural network to classify knee osteoarthritis from radiographic images based on the edges of the intra-joint spaces.

  2023cites this paper
• Detection of Knee Osteoarthritis Stages Using Convolutional Neural Network

  2023influential citation
• Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review

  2023cites this paper
• Analysis and classification of gait patterns in osteoarthritic and asymptomatic knees using phase space reconstruction, intrinsic time-scale decomposition and neural networks

  2023cites this paper
• Artificial intelligence and ChatGPT in Orthopaedics and sports medicine

  2023cites this paper
• Modern Applications of Machine Learning in Shoulder Arthroplasty

  2023cites this paper
• Detection of knee osteoarthritis based on recurrence quantification analysis, fuzzy entropy and shallow classifiers

  2023cites this paper
• Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare

  2023cites this paper
• A Machine Learning Framework for Assessing the Risk of Venous Thromboembolism in Patients Undergoing Hip or Knee Replacement

  2022cites this paper
• Automatic Detection and Classification of Human Knee Osteoarthritis Using Convolutional Neural Networks

  2022cites this paper
• A Survey of Human Gait-Based Artificial Intelligence Applications

  2022cites this paper
• Intelligent Diagnosis Method for New Diseases Based on Fuzzy SVM Incremental Learning

  2022cites this paper
• Joint kinematics alone can distinguish hip or knee osteoarthritis patients from asymptomatic controls with high accuracy

  2022cites this paper
• Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future

  2022cites this paper
• Use of machine learning in osteoarthritis research: a systematic literature review

  2022cites this paper
• Machine Learning-Based Performance Comparison to Diagnose Anterior Cruciate Ligament Tears

  2022cites this paper
• Recognition of Knee Osteoarthritis (KOA) Using YOLOv2 and Classification Based on Convolutional Neural Network

  2022cites this paper
• Cluster Analysis of Biomechanical Gait Data and Pain Score as a Potential Classification of Severity in Knee Osteoarthritis

  2022cites this paper
• Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study

  2022cites this paper
• Supervised machine learning and associated algorithms: applications in orthopedic surgery

  2022cites this paper
• Piezoresistive-Based Gait Monitoring Technique for the Recognition of Knee Osteoarthritis Patients

  2022cites this paper
• Identifying Severity Grading of Knee Osteoarthritis from X-ray Images Using an Efficient Mixture of Deep Learning and Machine Learning Models

  2022cites this paper
• Relation of gait measures with mild unilateral knee pain during walking using machine learning

  2022cites this paper
• Digital Health Applications to Establish a Remote Diagnosis of Orthopedic Knee Disorders: Scoping Review

  2022cites this paper
• Classification Anterior and Posterior of Knee Osteoarthritis X-Ray Images Grade KL-2 Using Deep Learning with Random Brightness Augmentation

  2022cites this paper
• Sports Medicine and Artificial Intelligence: A Primer

  2021cites this paper
• Utilizing Double Machine Learning to Discern Risk Factors for Preoperative Depression Among Anterior Cervical Discectomy and Fusion (ACDF) Patients

  2021cites this paper
• Validity and reliability of smartphones in measuring joint position sense among asymptomatic individuals and patients with knee osteoarthritis: A cross-sectional study.

  2021cites this paper
• Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints

  2021cites this paper
• Approaches to Classify Knee Osteoarthritis Using Biomechanical Data

  2021cites this paper
• An intelligent IoMT enabled feature extraction method for early detection of knee arthritis

  2021influential citation
• A Study on Automated Grading System for Early Prediction of Rheumatoid Arthritis

  2021cites this paper
• An Expert System to Diagnose Spinal Disorders

  2020cites this paper
• Machine learning in knee osteoarthritis: A review

  2020cites this paper
• Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks

  2020cites this paper
• A Survey of Knee Osteoarthritis Assessment Based on Gait

  2020cites this paper
• Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

  2020cites this paper
• A Survey of Knee Osteoarthritis Assessment Based on Gait

  2020influential citation
• Image Texture Analysis for Medical Image Mining: A Comparative Study Direct to Osteoarthritis Classification using Knee X-ray Image

  2020cites this paper
• Artificial Intelligence for the Orthopaedic Surgeon: An Overview of Potential Benefits, Limitations, and Clinical Applications.

  2020cites this paper
• Osteoarthritis detection by applying quadtree analysis to human joint knee X-ray imagery

  2020cites this paper
• Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness

  2020cites this paper
• A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability

  2020cites this paper
• Identification of Risk Factors and Machine Learning-Based Prediction Models for Knee Osteoarthritis Patients

  2020cites this paper
• A Survey of Behavioral Biometric Gait Recognition: Current Success and Future Perspectives

  2019cites this paper
• Random forest for breast cancer prediction

  2019cites this paper
• Patient Reported Outcomes Measures and the Evolving Role of Predictive Analytics in Spine Care

  2019cites this paper
• Knee Osteoarthritis Detection Using Power Spectral Density: Data from the OsteoArthritis Initiative

  2019cites this paper
• Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review.

  2019cites this paper
• Identification of Knee Osteoarthritis Based on Bayesian Network: Pilot Study

  2019cites this paper
• Center of pressure limb path differences for the detection of lameness in dogs: a preliminary study

  2019cites this paper
• A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative

  2019cites this paper
• Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective

  2019influential citation
• A New Approach to Classify Knee Osteoarthritis Severity from Radiographic Images based on CNN-LSTM Method

  2019cites this paper
• Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features

  2019cites this paper
• Exploring deep learning capabilities in knee osteoarthritis case study for classification

  2019cites this paper
• Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients

  2018cites this paper
• Artificial intelligence, machine learning and the evolution of healthcare

  2018cites this paper
• Application of Data Mining Technology on Surveillance Report Data of HIV/AIDS High-Risk Group in Urumqi from 2009 to 2015

  2018cites this paper
• Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning

  2018cites this paper
• Machine Learning in Orthopedics: A Literature Review

  2018cites this paper
• Wearable sensors and total knee arthroplasty: Assessing quantitative function to improve the patient experience

  2018cites this paper