Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Functional Classification of Joints

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...

Analgesia and Pain Management

Analgesia and Pain Management

Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Mapping the Evidence on Oral Health Interventions and Cognitive Status in Alzheimer's Disease: A Scoping Review.

Brain sciences·2026

Same author

The impact of community water fluoridation cessation on health equity and service utilization: a global scoping review.

BMC oral health·2026

Same author

Medical Claim Costs of Facioscapulohumeral Muscular Dystrophy in the United States.

ClinicoEconomics and outcomes research : CEOR·2026

Same author

Risk Factors for Postoperative Complications in Patients Reoperated for Persistent/Recurrent DTC.

The Journal of surgical research·2026

Same author

Direct Nanocrystal Seeding Enables Buried Interface Passivation and Enhanced Crystallization for FAPbI<sub>3</sub> Solar Cells.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

A choice architecture intervention to increase diversity: Diverse defaults can counteract hiring discrimination.

The Journal of applied psychology·2026

Same journal

The False-Negative Paradox: Refining the Prognostic Value of Selective Nerve Root Blocks Before Pulsed Radiofrequency-A Comment on Van Ooijen Et al.

Pain practice : the official journal of World Institute of Pain·2026

Same journal

Palliative Analgesia in Patients With Childhood Cancer: A Retrospective Cohort Study.

Pain practice : the official journal of World Institute of Pain·2026

Same journal

Long-Term Effectiveness and Safety of Dorsal Root Ganglion Stimulation for Persistent Spinal Pain Syndrome: Results From an Expanded Prospective Registry.

Pain practice : the official journal of World Institute of Pain·2026

Same journal

Retrospective Assessment of Adjacent Fracture Risks in Vertebroplasty, Kyphoplasty, and Bone-Tumor Radiofrequency Ablation.

Pain practice : the official journal of World Institute of Pain·2026

Same journal

Intradural Fibrosis Following Percutaneous Spinal Cord Stimulator Placement: A Case Report.

Pain practice : the official journal of World Institute of Pain·2026

Same journal

Invasive Spinal Neuromodulation for Chronic Pain in Pediatric Patients: A Scoping Review.

Pain practice : the official journal of World Institute of Pain·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 22, 2026

Author Spotlight: Fu's Subcutaneous Needling for Knee Osteoarthritis Pain

Author Spotlight: Fu's Subcutaneous Needling for Knee Osteoarthritis Pain

Published on: March 24, 2023

Profiling Arthritis Pain with a Decision Tree.

Man Hung¹, Jerry Bounsanga¹, Fangzhou Liu¹

¹Department of Orthopaedics, University of Utah, Salt Lake City, Utah, U.S.A.

Pain Practice : the Official Journal of World Institute of Pain

|September 27, 2017

Summary

This summary is machine-generated.

Machine learning accurately predicts arthritis pain using patient data. Key predictors include physical/mental function and daily activities, enabling personalized care management for improved patient outcomes.

Keywords:

arthritis big data analytics data mining pain predictive analytics

More Related Videos

Assessment of Knee Hyperalgesia in Mice using Pressure Application Measurement

Assessment of Knee Hyperalgesia in Mice using Pressure Application Measurement

Published on: June 13, 2025

Spontaneous and Evoked Measures of Pain in Murine Models of Monoarticular Knee Pain

Spontaneous and Evoked Measures of Pain in Murine Models of Monoarticular Knee Pain

Published on: February 22, 2019

Related Experiment Videos

Last Updated: Feb 22, 2026

Author Spotlight: Fu's Subcutaneous Needling for Knee Osteoarthritis Pain

Author Spotlight: Fu's Subcutaneous Needling for Knee Osteoarthritis Pain

Published on: March 24, 2023

Assessment of Knee Hyperalgesia in Mice using Pressure Application Measurement

Assessment of Knee Hyperalgesia in Mice using Pressure Application Measurement

Published on: June 13, 2025

Spontaneous and Evoked Measures of Pain in Murine Models of Monoarticular Knee Pain

Spontaneous and Evoked Measures of Pain in Murine Models of Monoarticular Knee Pain

Published on: February 22, 2019

Area of Science:

Medical informatics
Data analytics in healthcare
Machine learning applications

Background:

Arthritis is a major cause of work disability and lost productivity.
Previous pain prediction studies had limited sample sizes and scope.
Identifying reliable arthritis pain predictors is crucial for effective management.

Purpose of the Study:

To apply machine learning algorithms to identify predictors of arthritis pain.
To analyze a large national sample for data-driven insights.
To develop algorithms for individualized pain risk assessment.

Main Methods:

Utilized data from the 2011-2012 Medical Expenditure Panel Survey.
Employed data mining with over 200 variables, including demographics, claims, and patient-reported outcomes.
Developed and validated a machine learning classification algorithm (J48) with 50-fold cross-validation.

Main Results:

The predictive model achieved a c-statistic of 0.9108, demonstrating significant discrimination between patients with and without pain.
Achieved an overall accuracy rate of 85.68%, with an F-measure of 0.856.
Identified physical/mental function, stair climbing ability, and overall feeling as key predictors.

Conclusions:

Machine learning algorithms can accurately predict arthritis pain using readily available patient data.
The study highlights the shift towards data-driven healthcare research.
Developed algorithms offer insights for personalized pain prediction and cost-effective care management programs.