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Mobility Limitation

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Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA 31832697
PURPOSE: Machine-learning methods are flexible prediction algorithms with potential advantages over conventional regression. This study aimed to use machine learning methods to predict post-total knee arthroplasty (TKA) walking limitation, and to com...
Aged Arthroplasty, Replacement, Knee Female Humans Logistic Models Machine Learning Male Middle Aged Mobility Limitation Postoperative Complications Prognosis Registries Treatment Outcome Walking
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GEARing smart environments for pediatric motor rehabilitation.

Journal of neuroengineering and rehabilitation 32041623
BACKGROUND: There is a lack of early (infant) mobility rehabilitation approaches that incorporate natural and complex environments and have the potential to concurrently advance motor, cognitive, and social development. The Grounded Early Adaptive Re...
Algorithms Child, Preschool Developmental Disabilities Down Syndrome Female Humans Infant Interpersonal Relations Male Mobility Limitation Motor Activity Orthotic Devices Robotics
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Augmented Performance Feedback during Robotic Gait Therapy Results in Moderate Intensity Cardiovascular Exercise in Subacute Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 32245693
BACKGROUND: Low cardiovascular fitness is common poststroke. Conventional subacute stroke rehabilitation does not meet Australian National Stroke Guidelines for cardiovascular exercise, particularly in mobility-dependent patients. Walking robotics ca...
Aged Augmented Reality Cardiorespiratory Fitness Exercise Therapy Exercise Tolerance Feedback, Psychological Female Gait Health Status Humans Male Middle Aged Mobility Limitation Oxygen Consumption Patient Satisfaction Prospective Studies Recovery of Function Robotics Stroke Stroke Rehabilitation Time Factors Treatment Outcome
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Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.

Archives of physical medicine and rehabilitation 32446905
OBJECTIVE: To assess the utility of applying natural language processing (NLP) to electronic health records (EHRs) to identify individuals with chronic mobility disability.
Adult Aged Colorectal Neoplasms Electronic Health Records Female Humans Male Middle Aged Mobility Limitation Natural Language Processing Persons with Disabilities Wheelchairs Young Adult
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Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 32992179
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
Activities of Daily Living Aged Aged, 80 and over Clinical Decision Rules Databases, Factual Decision Trees Female Humans Inpatients Machine Learning Male Middle Aged Mobility Limitation Predictive Value of Tests Recovery of Function Reproducibility of Results Risk Assessment Risk Factors Stroke Stroke Rehabilitation Treatment Outcome
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Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 33895428
BACKGROUND: Robot-assisted gait training has been confirmed to have beneficial effect on the rehabilitation of stroke patients. An exoskeleton robot, named BEAR-H1, is designed to help stroke patients with walking disabilities.
Adult China Exoskeleton Device Female Functional Status Gait Gait Analysis Humans Lower Extremity Male Middle Aged Mobility Limitation Motor Activity Prospective Studies Recovery of Function Robotics Single-Blind Method Stroke Stroke Rehabilitation Time Factors Treatment Outcome Walk Test
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Machine Learning Algorithm Identifies the Importance of Environmental Factors for Hospital Discharge to Home of Stroke Patients using Wheelchair after Discharge.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 34029887
BACKGROUND AND PURPOSE: Physical environmental factors are generally likely to become barriers for discharge to home of wheelchair users, compared with non-wheelchair users. However, the importance of environmental factors has not been investigated a...
Activities of Daily Living Aged Aged, 80 and over Clinical Decision-Making Databases, Factual Decision Support Techniques Disability Evaluation Environment Design Female Housing Humans Machine Learning Male Mobility Limitation Patient Discharge Self-Help Devices Stroke Stroke Rehabilitation Treatment Outcome Wheelchairs
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Artificial intelligence model to identify elderly patients with locomotive syndrome: A cross-section study.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association 35148912
BACKGROUND: Identifying elderly individuals with locomotive syndrome is important to prevent disability in this population. Although screening tools for locomotive syndrome are available, these require time commitment and are limited by an individual...
Aged Artificial Intelligence Cross-Sectional Studies Gait Humans Locomotion Mobility Limitation Syndrome
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Predicting Future Mobility Limitation in Older Adults: A Machine Learning Analysis of Health ABC Study Data.

The journals of gerontology. Series A, Biological sciences and medical sciences 34529794
BACKGROUND: Mobility limitation in older adults is common and associated with poor health outcomes and loss of independence. Identification of at-risk individuals remains challenging because of time-consuming clinical assessments and limitations of s...
Aged Body Mass Index Humans Machine Learning Mobility Limitation Walking Walking Speed
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Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability study.

Geriatrics & gerontology international 38943538
AIM: To identify factors associated with locomotive syndrome (LS) using medical questionnaire data and machine learning.
Aged Aged, 80 and over Disability Evaluation Female Humans Japan Locomotion Machine Learning Male Middle Aged Mobility Limitation Osteoarthritis Osteoporosis Risk Assessment Risk Factors ROC Curve Surveys and Questionnaires Syndrome
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