AIMC Topic: Disability Evaluation
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Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators.
Academic radiology
Feb 29, 2024
RATIONALE AND OBJECTIVES: To investigate whether clinical and gray matter (GM) atrophy indicators can predict disability in relapsing-remitting multiple sclerosis (RRMS) and to enhance the interpretability and intuitiveness of a predictive machine le...
Effect of Robotic Rehabilitation on Hand Functions and Quality of Life in Children With Cerebral Palsy: A Prospective Randomized Controlled Study.
American journal of physical medicine & rehabilitation
Jan 31, 2024
OBJECTIVE: This study aimed to examine the impact of robotic hand rehabilitation on hand function and quality of life in children with cerebral palsy.
Efficacy and Safety of Chinese Herbal Medicine in Patients with Acute Intracerebral Hemorrhage: Protocol for a Randomized Placebo-Controlled Double-Blinded Multicenter Trial.
Cerebrovascular diseases (Basel, Switzerland)
Oct 26, 2023
INTRODUCTION: The popular traditional Chinese medicine (TCM) compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) through effects on brain edema, hematoma absorption, and the immune system...
Drugs, Chinese Herbal
Time Factors
Functional Status
Treatment Outcome
Multicenter Studies as Topic
Cerebral Hemorrhage
Adult
Recovery of Function
Humans
Male
Randomized Controlled Trials as Topic
Prospective Studies
Middle Aged
Acute Disease
Female
China
Disability Evaluation
Aged
Double-Blind Method
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 ...
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...
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).
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...
Mobility Limitation
Environment Design
Disability Evaluation
Patient Discharge
Stroke
Activities of Daily Living
Housing
Stroke Rehabilitation
Wheelchairs
Self-Help Devices
Aged
Aged, 80 and over
Male
Treatment Outcome
Decision Support Techniques
Databases, Factual
Clinical Decision-Making
Female
Humans
Machine Learning
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...
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).
Physical Functional Performance
Patient Reported Outcome Measures
Postoperative Period
Preoperative Period
Predictive Value of Tests
Disability Evaluation
Pain, Postoperative
Spinal Fusion
Lumbar Vertebrae
Middle Aged
Length of Stay
Cohort Studies
Recovery of Function
Retrospective Studies
Female
Risk Factors
Aged
Male
Humans
Machine Learning
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...
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