AIMC Topic: Disability Evaluation

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Development of an ontology to characterize mental functioning.

Disability and rehabilitation Sep 13, 2023
PURPOSE OF THE ARTICLE: This article describes a conceptual and methodological approach to integrating functional information into an ontology to categorize mental functioning, which to date is an under-developed area of classification, and supports ...
United States Natural Language Processing Disability Evaluation International Classification of Functioning, Disability and Health United States Social Security Administration Humans Persons with Disabilities
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Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques.

International journal of molecular sciences Sep 13, 2022
Short-term disability progression was predicted from a baseline evaluation in patients with multiple sclerosis (MS) using their three-dimensional T1-weighted (3DT1) magnetic resonance images (MRI). One-hundred-and-eighty-one subjects diagnosed with M...
Humans Brain Disease Progression Deep Learning Magnetic Resonance Imaging Disability Evaluation Multiple Sclerosis
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Large Vessel Occlusion Prediction in the Emergency Department with National Institutes of Health Stroke Scale Components: A Machine Learning Approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 15, 2021
OBJECTIVE: To determine the feasibility of using a machine learning algorithm to screen for large vessel occlusions (LVO) in the Emergency Department (ED).
Cerebrovascular Disorders Emergency Service, Hospital Disability Evaluation Functional Status Feasibility Studies Humans Machine Learning Prognosis Retrospective Studies Female Male Middle Aged Predictive Value of Tests
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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 May 21, 2021
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...
Female Aged Aged, 80 and over Male Treatment Outcome Humans Machine Learning Decision Support Techniques Databases, Factual Clinical Decision-Making Mobility Limitation Activities of Daily Living Housing Stroke Rehabilitation Wheelchairs Self-Help Devices Environment Design Disability Evaluation Patient Discharge Stroke
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Effects of a Soft Robotic Hand for Hand Rehabilitation in Chronic Stroke Survivors.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 22, 2021
OBJECTIVES: Soft robotic hands are proposed for stroke rehabilitation in terms of their high compliance and low inherent stiffness. We investigated the clinical efficacy of a soft robotic hand that could actively flex and extend the fingers in chroni...
Electromyography Stroke Exoskeleton Device Motor Activity Stroke Rehabilitation Disability Evaluation Functional Status Equipment Design Hand Adult Biomechanical Phenomena Male Middle Aged Time Factors Treatment Outcome Hand Strength Recovery of Function Robotics Humans Female Aged
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Exploring Associations of Preoperative Physical Performance With Postoperative Outcomes After Lumbar Spinal Fusion: A Machine Learning Approach.

Archives of physical medicine and rehabilitation Mar 9, 2021
OBJECTIVE: To explore the association between preoperative physical performance with short- and long-term postoperative outcomes in patients undergoing lumbar spinal fusion (LSF).
Postoperative Period Preoperative Period Spinal Fusion Lumbar Vertebrae Physical Functional Performance Patient Reported Outcome Measures Risk Factors Aged Male Middle Aged Length of Stay Cohort Studies Recovery of Function Predictive Value of Tests Disability Evaluation Pain, Postoperative Humans Machine Learning Retrospective Studies Female
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What is the impact of robotic rehabilitation on balance and gait outcomes in people with multiple sclerosis? A systematic review of randomized control trials.

European journal of physical and rehabilitation medicine Feb 4, 2021
INTRODUCTION: In recent years, robot-assisted gait training (RAGT) has been proposed as therapy for balance and gait dysfunctions in people with multiple sclerosis (PwMS). Through this systematic review, we aimed to discuss the impact of RAGT on bala...
Humans Randomized Controlled Trials as Topic Robotics Disability Evaluation Walk Test Combined Modality Therapy Multiple Sclerosis Exoskeleton Device Gait Disorders, Neurologic
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Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Feb 3, 2021
BACKGROUND AND PURPOSE: The importance of environmental factors for stroke patients to achieve home discharge was not scientifically proven. There are limited studies on the application of the decision tree algorithm with various functional and envir...
Patient Discharge Stroke Motor Activity Environment Stroke Rehabilitation Decision Trees Recovery of Function Predictive Value of Tests Disability Evaluation Functional Status Male Middle Aged Time Factors Treatment Outcome Decision Support Techniques Databases, Factual Female Aged Aged, 80 and over Humans Machine Learning
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Towards a new model and classification of mood disorders based on risk resilience, neuro-affective toxicity, staging, and phenome features using the nomothetic network psychiatry approach.

Metabolic brain disease Jan 7, 2021
Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to explain how machine learning techniques can be used to a) construct a model which ensembles risk/resilience (R/R), adverse outcome pathways (AOPs), stagin...
Quality of Life Resilience, Psychological Suicidal Ideation Reactive Oxygen Species Disability Evaluation Female Adult Male Middle Aged Mood Disorders Reactive Nitrogen Species Humans Machine Learning
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Effects of Robotic Exoskeleton-Aided Gait Training in the Strength, Body Balance, and Walking Speed in Individuals With Multiple Sclerosis: A Single-Group Preliminary Study.

Archives of physical medicine and rehabilitation Nov 9, 2020
OBJECTIVE: To assess effects of 15 exoskeleton-assisted gait training sessions, reflected by the muscle strength of the lower limbs and by walking speed immediately after the training sessions and at the 6-week follow-up.
Postural Balance Disability Evaluation Multiple Sclerosis Fatigue Walking Speed Exoskeleton Device Gait Disorders, Neurologic Male Middle Aged Longitudinal Studies Muscle Strength Robotics Humans Prospective Studies Female Adult
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