AIMC Topic: Functional Status

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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

International journal of chronic obstructive pulmonary disease Jan 20, 2025
BACKGROUND: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Pulmonary Disease, Chronic Obstructive Male Middle Aged Disease Progression Humans Lung Functional Status Respiratory Function Tests Speech Acoustics Prospective Studies Speech Production Measurement Prognosis Voice Quality Female Severity of Illness Index Reproducibility of Results Speech Aged Time Factors Support Vector Machine Predictive Value of Tests
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Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure.

JAMA network open Nov 4, 2024
IMPORTANCE: Serial functional status assessments are critical to heart failure (HF) management but are often described narratively in documentation, limiting their use in quality improvement or patient selection for clinical trials.
Deep Learning ROC Curve Natural Language Processing Female Functional Status Aged Humans Heart Failure Aged, 80 and over Electronic Health Records Documentation Male Connecticut Middle Aged
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Gait Alterations and Association With Worsening Knee Pain and Physical Function: A Machine Learning Approach With Wearable Sensors in the Multicenter Osteoarthritis Study.

Arthritis care & research Apr 17, 2024
OBJECTIVE: The objective of this study was to identify gait alterations related to worsening knee pain and worsening physical function, using machine learning approaches applied to wearable sensor-derived data from a large observational cohort.
Female Aged Male Middle Aged Disease Progression Humans Machine Learning Functional Status Knee Joint Gait Arthralgia Gait Analysis Wearable Electronic Devices United States Predictive Value of Tests Pain Measurement Osteoarthritis, Knee Walk Test
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Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study.

Journal of medical Internet research Feb 13, 2024
BACKGROUND: Assessment of activities of daily living (ADLs) and instrumental ADLs (iADLs) is key to determining the severity of dementia and care needs among older adults. However, such information is often only documented in free-text clinical notes...
Medicare Activities of Daily Living Female Aged Aged, 80 and over Cross-Sectional Studies Male Dementia United States Natural Language Processing Functional Status Humans
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Comparison of assistance preferences of older adults with different functional dependence levels on domestic tasks performed by robots.

BMC geriatrics Jan 13, 2024
BACKGROUND: Robots have the potential to assist older adults in their home-based daily living tasks. Previous studies indicated that older adults generally accept robot assistance. However, the preferences of older adults with different functional de...
Cross-Sectional Studies Robotics Functional Status Activities of Daily Living Humans Aged Self Care
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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...
Functional Status Adult Treatment Outcome Randomized Controlled Trials as Topic Male Humans Multicenter Studies as Topic Acute Disease Middle Aged Cerebral Hemorrhage Prospective Studies Disability Evaluation Recovery of Function Female China Double-Blind Method Aged Time Factors Drugs, Chinese Herbal
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Simultaneous assessment and training of an upper-limb amputee using incremental machine-learning-based myocontrol: a single-case experimental design.

Journal of neuroengineering and rehabilitation Apr 7, 2023
BACKGROUND: Machine-learning-based myocontrol of prosthetic devices suffers from a high rate of abandonment due to dissatisfaction with the training procedure and with the reliability of day-to-day control. Incremental myocontrol is a promising appro...
Exercise Therapy Machine Learning Hand Research Design Humans Electromyography Reproducibility of Results Amputees Recovery of Function Artificial Limbs Functional Status Prosthesis Design
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Abnormal synergistic gait mitigation in acute stroke using an innovative ankle-knee-hip interlimb humanoid robot: a preliminary randomized controlled trial.

Scientific reports Nov 24, 2021
Abnormal spasticity and associated synergistic patterns are the most common neuromuscular impairments affecting ankle-knee-hip interlimb coordinated gait kinematics and kinetics in patients with hemiparetic stroke. Although patients with hemiparetic ...
Equipment Design Knee Joint Stroke Gait Humans Range of Motion, Articular Treatment Outcome Hip Joint Female Recovery of Function Biomechanical Phenomena Aged Ankle Joint Stroke Rehabilitation Robotics Male Aged, 80 and over Exoskeleton Device Functional Status Gait Disorders, Neurologic Middle Aged Physical Therapy Modalities Single-Blind Method Time Factors
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Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke.

Journal of the American Heart Association Nov 19, 2021
Background Conventional prognostic scores usually require predefined clinical variables to predict outcome. The advancement of natural language processing has made it feasible to derive meaning from unstructured data. We aimed to test whether using u...
Prognosis Natural Language Processing Humans Ischemic Stroke Functional Status Machine Learning
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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).
Retrospective Studies Humans Cerebrovascular Disorders Female Emergency Service, Hospital Machine Learning Male Disability Evaluation Prognosis Middle Aged Functional Status Predictive Value of Tests Feasibility Studies
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